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scale.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders. Powered by Apache Flink, Ververica Platform provides high throughput, low latencydata
STREAM PROCESSING & APACHE FLINK NEWS AND BEST PRACTICES Introducing StreamBurst as a Ververica Partner in South Africa. We are delighted to collaborate with Ververica and the original creators of Apache Flink to support our clients in South Africa with cutting edge real time streaming capabilities. Read More. Ververica Platform , APACHE FLINK & STREAM PROCESSING USE CASES Intuit used Apache Flink as the primary stream processing engine in its self-serve stream processing platform. Apache Flink is a critical component in performing real time data processing for the technology company. Learn more. Learn More. Machine Learning. NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. VERVERICA PLATFORM DOCKER IMAGES Ververica Platform Public Registry¶. The registry is hosted at registry.ververica.com, and the images of a particular Ververica Platform version are published under the specific version prefix.. For Ververica Platform 2.4, the following images are available and needed to run Ververica Platform. KUBERNETES POD TEMPLATES The templates are used by Ververica Platform during deployment of Flink clusters. System-level configuration is applied on top of the user-provided templates. Overall correctness of the resulting pod specs is only validated lazily at Flink cluster creation time, but each provided V1PodTemplateSpec is validated eagerly for structuralcorrectness.
DATA ARTISANS + ALIBABA: A NEW CHAPTER FOR OPEN SOURCE BIG Moving forward together, data Artisans and Alibaba will not only continue, but accelerate contributions to Apache Flink and open source Big Data. As a first step, Alibaba announced their commitment to contribute their in-house developments around Flink — Blink — to the open source community. Our customers and partners can expect thesame
APACHE FLINK® SQL DEVELOPMENT Apache Flink® SQL Development¶. Most stream processing use cases can be solved with continuous SQL queries. Common tasks include data transformations, enrichment, joins, and aggregations, as well as moving events from one system to another and continuously updating views with low latency. APACHE FLINK STREAM PROCESSING & ANALYTICS Original Creators of Apache Flink®. Ververica Platform enables every enterprise to take advantage and derive immediate insight from its data in real time. Powered by Apache Flink's robust streaming runtime, Ververica Platform makes this possible by providing an integrated solution for stateful stream processing and streaming analytics atscale.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders. Powered by Apache Flink, Ververica Platform provides high throughput, low latencydata
STREAM PROCESSING & APACHE FLINK NEWS AND BEST PRACTICES Introducing StreamBurst as a Ververica Partner in South Africa. We are delighted to collaborate with Ververica and the original creators of Apache Flink to support our clients in South Africa with cutting edge real time streaming capabilities. Read More. Ververica Platform , APACHE FLINK & STREAM PROCESSING USE CASES Intuit used Apache Flink as the primary stream processing engine in its self-serve stream processing platform. Apache Flink is a critical component in performing real time data processing for the technology company. Learn more. Learn More. Machine Learning. NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. VERVERICA PLATFORM DOCKER IMAGES Ververica Platform Public Registry¶. The registry is hosted at registry.ververica.com, and the images of a particular Ververica Platform version are published under the specific version prefix.. For Ververica Platform 2.4, the following images are available and needed to run Ververica Platform. KUBERNETES POD TEMPLATES The templates are used by Ververica Platform during deployment of Flink clusters. System-level configuration is applied on top of the user-provided templates. Overall correctness of the resulting pod specs is only validated lazily at Flink cluster creation time, but each provided V1PodTemplateSpec is validated eagerly for structuralcorrectness.
DATA ARTISANS + ALIBABA: A NEW CHAPTER FOR OPEN SOURCE BIG Moving forward together, data Artisans and Alibaba will not only continue, but accelerate contributions to Apache Flink and open source Big Data. As a first step, Alibaba announced their commitment to contribute their in-house developments around Flink — Blink — to the open source community. Our customers and partners can expect thesame
APACHE FLINK® SQL DEVELOPMENT Apache Flink® SQL Development¶. Most stream processing use cases can be solved with continuous SQL queries. Common tasks include data transformations, enrichment, joins, and aggregations, as well as moving events from one system to another and continuously updating views with low latency. ABOUT US | ORIGINAL CREATORS OF APACHE FLINK | VERVERICA Ververica (formerly data Artisans) is the company founded by the original creators of the open source stream processing frameworkApache Flink.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders. Powered by Apache Flink, Ververica Platform provides high throughput, low latencydata
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform Community Edition is a stream processing platform with open source Apache Flink. Here is how you can set it up in 5minutes
NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
STREAM ALLIANCE PROGRAM Business Partner. Business Partners aiming to enhance their customers’ business with real-time data stream processing, can differentiate by reselling the Ververica Platform and benefit from first hand vendor access and advocacy. INTRODUCING OUR NEW NAME! Introducing our new name! Today, we’re excited to share the next phase of our journey - introducing our new name! A few weeks ago we announced that we have joined forces with Alibaba to build a new initiative around open source data processing technologies. Deepening our partnership with Alibaba came after a long-standing collaborationaround
IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. VERVERICA PLATFORM 2.5.0 Apache Flink® 1.12.4 ¶. This update to our distribution of Apache Flink® 1.12.4 includes a bugfix for FLINK-22494 that was not backported to the official Apache Flink® 1.12.4 release.. The fix handles cases where persisting the Checkpoint metadata to High Availability systems fails after the data has been written to theunderlying storage.
GETTING STARTED
Under the hood, Ververica Platform now performs an application upgrade according to the configured Upgrade and Restore Strategy.For your Deployment, these default to STATEFUL and LATEST_STATE and Ververica Platform has triggered a graceful shutdown of your Flink application while taking a consistent snapshot of its state via a savepoint. You can see a list of all past savepoints and retained APACHE FLINK AND APACHE KAFKA STREAMS The fundamental differences between a Flink and a Kafka Streams program lie in the way these are deployed and managed (which often has implications to who owns these applications from an organizational perspective) and how the parallel processing (including fault tolerance) is coordinated. These are core differences - they are ingrained in the architecture of these two systems. APACHE FLINK STREAM PROCESSING & ANALYTICS Original Creators of Apache Flink®. Ververica Platform enables every enterprise to take advantage and derive immediate insight from its data in real time. Powered by Apache Flink's robust streaming runtime, Ververica Platform makes this possible by providing an integrated solution for stateful stream processing and streaming analytics atscale.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders. Powered by Apache Flink, Ververica Platform provides high throughput, low latencydata
STREAM PROCESSING & APACHE FLINK NEWS AND BEST PRACTICES Introducing StreamBurst as a Ververica Partner in South Africa. We are delighted to collaborate with Ververica and the original creators of Apache Flink to support our clients in South Africa with cutting edge real time streaming capabilities. Read More. Ververica Platform , APACHE FLINK & STREAM PROCESSING USE CASES Intuit used Apache Flink as the primary stream processing engine in its self-serve stream processing platform. Apache Flink is a critical component in performing real time data processing for the technology company. Learn more. Learn More. Machine Learning. NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. VERVERICA PLATFORM DOCKER IMAGES Ververica Platform Public Registry¶. The registry is hosted at registry.ververica.com, and the images of a particular Ververica Platform version are published under the specific version prefix.. For Ververica Platform 2.4, the following images are available and needed to run Ververica Platform. KUBERNETES POD TEMPLATES The templates are used by Ververica Platform during deployment of Flink clusters. System-level configuration is applied on top of the user-provided templates. Overall correctness of the resulting pod specs is only validated lazily at Flink cluster creation time, but each provided V1PodTemplateSpec is validated eagerly for structuralcorrectness.
DATA ARTISANS + ALIBABA: A NEW CHAPTER FOR OPEN SOURCE BIG Moving forward together, data Artisans and Alibaba will not only continue, but accelerate contributions to Apache Flink and open source Big Data. As a first step, Alibaba announced their commitment to contribute their in-house developments around Flink — Blink — to the open source community. Our customers and partners can expect thesame
APACHE FLINK® SQL DEVELOPMENT Apache Flink® SQL Development¶. Most stream processing use cases can be solved with continuous SQL queries. Common tasks include data transformations, enrichment, joins, and aggregations, as well as moving events from one system to another and continuously updating views with low latency. APACHE FLINK STREAM PROCESSING & ANALYTICS Original Creators of Apache Flink®. Ververica Platform enables every enterprise to take advantage and derive immediate insight from its data in real time. Powered by Apache Flink's robust streaming runtime, Ververica Platform makes this possible by providing an integrated solution for stateful stream processing and streaming analytics atscale.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders. Powered by Apache Flink, Ververica Platform provides high throughput, low latencydata
STREAM PROCESSING & APACHE FLINK NEWS AND BEST PRACTICES Introducing StreamBurst as a Ververica Partner in South Africa. We are delighted to collaborate with Ververica and the original creators of Apache Flink to support our clients in South Africa with cutting edge real time streaming capabilities. Read More. Ververica Platform , APACHE FLINK & STREAM PROCESSING USE CASES Intuit used Apache Flink as the primary stream processing engine in its self-serve stream processing platform. Apache Flink is a critical component in performing real time data processing for the technology company. Learn more. Learn More. Machine Learning. NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. VERVERICA PLATFORM DOCKER IMAGES Ververica Platform Public Registry¶. The registry is hosted at registry.ververica.com, and the images of a particular Ververica Platform version are published under the specific version prefix.. For Ververica Platform 2.4, the following images are available and needed to run Ververica Platform. KUBERNETES POD TEMPLATES The templates are used by Ververica Platform during deployment of Flink clusters. System-level configuration is applied on top of the user-provided templates. Overall correctness of the resulting pod specs is only validated lazily at Flink cluster creation time, but each provided V1PodTemplateSpec is validated eagerly for structuralcorrectness.
DATA ARTISANS + ALIBABA: A NEW CHAPTER FOR OPEN SOURCE BIG Moving forward together, data Artisans and Alibaba will not only continue, but accelerate contributions to Apache Flink and open source Big Data. As a first step, Alibaba announced their commitment to contribute their in-house developments around Flink — Blink — to the open source community. Our customers and partners can expect thesame
APACHE FLINK® SQL DEVELOPMENT Apache Flink® SQL Development¶. Most stream processing use cases can be solved with continuous SQL queries. Common tasks include data transformations, enrichment, joins, and aggregations, as well as moving events from one system to another and continuously updating views with low latency. ABOUT US | ORIGINAL CREATORS OF APACHE FLINK | VERVERICA Ververica (formerly data Artisans) is the company founded by the original creators of the open source stream processing frameworkApache Flink.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders. Powered by Apache Flink, Ververica Platform provides high throughput, low latencydata
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform Community Edition is a stream processing platform with open source Apache Flink. Here is how you can set it up in 5minutes
NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
STREAM ALLIANCE PROGRAM Business Partner. Business Partners aiming to enhance their customers’ business with real-time data stream processing, can differentiate by reselling the Ververica Platform and benefit from first hand vendor access and advocacy. INTRODUCING OUR NEW NAME! Introducing our new name! Today, we’re excited to share the next phase of our journey - introducing our new name! A few weeks ago we announced that we have joined forces with Alibaba to build a new initiative around open source data processing technologies. Deepening our partnership with Alibaba came after a long-standing collaborationaround
IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. VERVERICA PLATFORM 2.5.0 Apache Flink® 1.12.4 ¶. This update to our distribution of Apache Flink® 1.12.4 includes a bugfix for FLINK-22494 that was not backported to the official Apache Flink® 1.12.4 release.. The fix handles cases where persisting the Checkpoint metadata to High Availability systems fails after the data has been written to theunderlying storage.
GETTING STARTED
Under the hood, Ververica Platform now performs an application upgrade according to the configured Upgrade and Restore Strategy.For your Deployment, these default to STATEFUL and LATEST_STATE and Ververica Platform has triggered a graceful shutdown of your Flink application while taking a consistent snapshot of its state via a savepoint. You can see a list of all past savepoints and retained APACHE FLINK AND APACHE KAFKA STREAMS The fundamental differences between a Flink and a Kafka Streams program lie in the way these are deployed and managed (which often has implications to who owns these applications from an organizational perspective) and how the parallel processing (including fault tolerance) is coordinated. These are core differences - they are ingrained in the architecture of these two systems. APACHE FLINK STREAM PROCESSING & ANALYTICS Original Creators of Apache Flink®. Ververica Platform enables every enterprise to take advantage and derive immediate insight from its data in real time. Powered by Apache Flink's robust streaming runtime, Ververica Platform makes this possible by providing an integrated solution for stateful stream processing and streaming analytics atscale.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders. Powered by Apache Flink, Ververica Platform provides high throughput, low latencydata
STREAM PROCESSING & APACHE FLINK NEWS AND BEST PRACTICES Introducing StreamBurst as a Ververica Partner in South Africa. We are delighted to collaborate with Ververica and the original creators of Apache Flink to support our clients in South Africa with cutting edge real time streaming capabilities. Read More. Ververica Platform , APACHE FLINK & STREAM PROCESSING USE CASES Intuit used Apache Flink as the primary stream processing engine in its self-serve stream processing platform. Apache Flink is a critical component in performing real time data processing for the technology company. Learn more. Learn More. Machine Learning. NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. VERVERICA PLATFORM DOCKER IMAGES Ververica Platform Public Registry¶. The registry is hosted at registry.ververica.com, and the images of a particular Ververica Platform version are published under the specific version prefix.. For Ververica Platform 2.4, the following images are available and needed to run Ververica Platform. KUBERNETES POD TEMPLATES The templates are used by Ververica Platform during deployment of Flink clusters. System-level configuration is applied on top of the user-provided templates. Overall correctness of the resulting pod specs is only validated lazily at Flink cluster creation time, but each provided V1PodTemplateSpec is validated eagerly for structuralcorrectness.
DATA ARTISANS + ALIBABA: A NEW CHAPTER FOR OPEN SOURCE BIG Moving forward together, data Artisans and Alibaba will not only continue, but accelerate contributions to Apache Flink and open source Big Data. As a first step, Alibaba announced their commitment to contribute their in-house developments around Flink — Blink — to the open source community. Our customers and partners can expect thesame
APACHE FLINK® SQL DEVELOPMENT Apache Flink® SQL Development¶. Most stream processing use cases can be solved with continuous SQL queries. Common tasks include data transformations, enrichment, joins, and aggregations, as well as moving events from one system to another and continuously updating views with low latency. APACHE FLINK STREAM PROCESSING & ANALYTICS Original Creators of Apache Flink®. Ververica Platform enables every enterprise to take advantage and derive immediate insight from its data in real time. Powered by Apache Flink's robust streaming runtime, Ververica Platform makes this possible by providing an integrated solution for stateful stream processing and streaming analytics atscale.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders. Powered by Apache Flink, Ververica Platform provides high throughput, low latencydata
STREAM PROCESSING & APACHE FLINK NEWS AND BEST PRACTICES Introducing StreamBurst as a Ververica Partner in South Africa. We are delighted to collaborate with Ververica and the original creators of Apache Flink to support our clients in South Africa with cutting edge real time streaming capabilities. Read More. Ververica Platform , APACHE FLINK & STREAM PROCESSING USE CASES Intuit used Apache Flink as the primary stream processing engine in its self-serve stream processing platform. Apache Flink is a critical component in performing real time data processing for the technology company. Learn more. Learn More. Machine Learning. NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. VERVERICA PLATFORM DOCKER IMAGES Ververica Platform Public Registry¶. The registry is hosted at registry.ververica.com, and the images of a particular Ververica Platform version are published under the specific version prefix.. For Ververica Platform 2.4, the following images are available and needed to run Ververica Platform. KUBERNETES POD TEMPLATES The templates are used by Ververica Platform during deployment of Flink clusters. System-level configuration is applied on top of the user-provided templates. Overall correctness of the resulting pod specs is only validated lazily at Flink cluster creation time, but each provided V1PodTemplateSpec is validated eagerly for structuralcorrectness.
DATA ARTISANS + ALIBABA: A NEW CHAPTER FOR OPEN SOURCE BIG Moving forward together, data Artisans and Alibaba will not only continue, but accelerate contributions to Apache Flink and open source Big Data. As a first step, Alibaba announced their commitment to contribute their in-house developments around Flink — Blink — to the open source community. Our customers and partners can expect thesame
APACHE FLINK® SQL DEVELOPMENT Apache Flink® SQL Development¶. Most stream processing use cases can be solved with continuous SQL queries. Common tasks include data transformations, enrichment, joins, and aggregations, as well as moving events from one system to another and continuously updating views with low latency. ABOUT US | ORIGINAL CREATORS OF APACHE FLINK | VERVERICA Ververica (formerly data Artisans) is the company founded by the original creators of the open source stream processing frameworkApache Flink.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders. Powered by Apache Flink, Ververica Platform provides high throughput, low latencydata
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform Community Edition is a stream processing platform with open source Apache Flink. Here is how you can set it up in 5minutes
NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
STREAM ALLIANCE PROGRAM Business Partner. Business Partners aiming to enhance their customers’ business with real-time data stream processing, can differentiate by reselling the Ververica Platform and benefit from first hand vendor access and advocacy. INTRODUCING OUR NEW NAME! Introducing our new name! Today, we’re excited to share the next phase of our journey - introducing our new name! A few weeks ago we announced that we have joined forces with Alibaba to build a new initiative around open source data processing technologies. Deepening our partnership with Alibaba came after a long-standing collaborationaround
IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. VERVERICA PLATFORM 2.5.0 Apache Flink® 1.12.4 ¶. This update to our distribution of Apache Flink® 1.12.4 includes a bugfix for FLINK-22494 that was not backported to the official Apache Flink® 1.12.4 release.. The fix handles cases where persisting the Checkpoint metadata to High Availability systems fails after the data has been written to theunderlying storage.
GETTING STARTED
Under the hood, Ververica Platform now performs an application upgrade according to the configured Upgrade and Restore Strategy.For your Deployment, these default to STATEFUL and LATEST_STATE and Ververica Platform has triggered a graceful shutdown of your Flink application while taking a consistent snapshot of its state via a savepoint. You can see a list of all past savepoints and retained APACHE FLINK AND APACHE KAFKA STREAMS The fundamental differences between a Flink and a Kafka Streams program lie in the way these are deployed and managed (which often has implications to who owns these applications from an organizational perspective) and how the parallel processing (including fault tolerance) is coordinated. These are core differences - they are ingrained in the architecture of these two systems. APACHE FLINK STREAM PROCESSING & ANALYTICS Original Creators of Apache Flink®. Ververica Platform enables every enterprise to take advantage and derive immediate insight from its data in real time. Powered by Apache Flink's robust streaming runtime, Ververica Platform makes this possible by providing an integrated solution for stateful stream processing and streaming analytics atscale.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders. Powered by Apache Flink, Ververica Platform provides high throughput, low latencydata
ABOUT US | ORIGINAL CREATORS OF APACHE FLINK | VERVERICA Ververica (formerly data Artisans) is the company founded by the original creators of the open source stream processing frameworkApache Flink.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform Community Edition is a stream processing platform with open source Apache Flink. Here is how you can set it up in 5minutes
STREAM PROCESSING & APACHE FLINK NEWS AND BEST PRACTICES Introducing StreamBurst as a Ververica Partner in South Africa. We are delighted to collaborate with Ververica and the original creators of Apache Flink to support our clients in South Africa with cutting edge real time streaming capabilities. Read More. Ververica Platform ,FLINK TRAINING
Apache Flink Troubleshooting & Operations Training. This course is a hands-on introduction to key topics relating to putting Flink applications into production, including configuring and tuning your job, deployment, operations, and maintenance. Also included is a solid introduction to the organization of the Flink runtime to help you tuneand
CAREERS | APACHE FLINK JOBS | VERVERICA What our team says. " Working with people where each individual is an expert in its field. It often feels like working in a team of tech leads. ". - Software Engineer / Software Developer. What our team says. " Working with Ververica team is refreshing as we are all working toward the same objective. NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. KUBERNETES POD TEMPLATES The templates are used by Ververica Platform during deployment of Flink clusters. System-level configuration is applied on top of the user-provided templates. Overall correctness of the resulting pod specs is only validated lazily at Flink cluster creation time, but each provided V1PodTemplateSpec is validated eagerly for structuralcorrectness.
APACHE FLINK STREAM PROCESSING & ANALYTICS Original Creators of Apache Flink®. Ververica Platform enables every enterprise to take advantage and derive immediate insight from its data in real time. Powered by Apache Flink's robust streaming runtime, Ververica Platform makes this possible by providing an integrated solution for stateful stream processing and streaming analytics atscale.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders. Powered by Apache Flink, Ververica Platform provides high throughput, low latencydata
ABOUT US | ORIGINAL CREATORS OF APACHE FLINK | VERVERICA Ververica (formerly data Artisans) is the company founded by the original creators of the open source stream processing frameworkApache Flink.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform Community Edition is a stream processing platform with open source Apache Flink. Here is how you can set it up in 5minutes
STREAM PROCESSING & APACHE FLINK NEWS AND BEST PRACTICES Introducing StreamBurst as a Ververica Partner in South Africa. We are delighted to collaborate with Ververica and the original creators of Apache Flink to support our clients in South Africa with cutting edge real time streaming capabilities. Read More. Ververica Platform ,FLINK TRAINING
Apache Flink Troubleshooting & Operations Training. This course is a hands-on introduction to key topics relating to putting Flink applications into production, including configuring and tuning your job, deployment, operations, and maintenance. Also included is a solid introduction to the organization of the Flink runtime to help you tuneand
CAREERS | APACHE FLINK JOBS | VERVERICA What our team says. " Working with people where each individual is an expert in its field. It often feels like working in a team of tech leads. ". - Software Engineer / Software Developer. What our team says. " Working with Ververica team is refreshing as we are all working toward the same objective. NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. KUBERNETES POD TEMPLATES The templates are used by Ververica Platform during deployment of Flink clusters. System-level configuration is applied on top of the user-provided templates. Overall correctness of the resulting pod specs is only validated lazily at Flink cluster creation time, but each provided V1PodTemplateSpec is validated eagerly for structuralcorrectness.
ABOUT US | ORIGINAL CREATORS OF APACHE FLINK | VERVERICA Who we are. Ververica's mission is to power the core business of every company with cutting-edge real-time stream processing technology. In order to do that, the team at Ververica focuses on building the best technology available for stream processing, while at the same time creating a global and open community around this technology. CAREERS | APACHE FLINK JOBS | VERVERICA What our team says. " Working with people where each individual is an expert in its field. It often feels like working in a team of tech leads. ". - Software Engineer / Software Developer. What our team says. " Working with Ververica team is refreshing as we are all working toward the same objective. NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
STREAM ALLIANCE PROGRAM Business Partner. Business Partners aiming to enhance their customers’ business with real-time data stream processing, can differentiate by reselling the Ververica Platform and benefit from first hand vendor access and advocacy.IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. WHAT IS STREAM PROCESSING The systems that receive and send the data streams and execute the application or analytics logic are called stream processors. The basic responsibilities of a stream processor are to ensure that data flows efficiently and the computation scales and is fault tolerant. Apache Flink is a powerful, mature, open source stream processing framework VERVERICA PLATFORM DOCKER IMAGES Ververica Platform Public Registry¶. The registry is hosted at registry.ververica.com, and the images of a particular Ververica Platform version are published under the specific version prefix.. For Ververica Platform 2.4, the following images are available and needed to run Ververica Platform. CONTINUOUS QUERIES ON DYNAMIC TABLES: ANALYZING DATA First, the stream is converted into a dynamic table. The dynamic table is queried with a continuous query, which produces a new dynamic table. Finally, the resulting table is converted back into a stream. It is important to note that this is only the logical model and does not imply how the query is MANAGING LARGE STATE IN APACHE FLINK®: AN INTRO TO Apache Flink was purpose-built for stateful stream processing. Let's quickly review: what is state in a stream processing application? I defined state and stateful stream processing in a previous blog post, and in case you need a refresher, state is defined as memory in an application’s operators that stores information about previously-seen events that you can use to influence the APACHE FLINK® SQL DEVELOPMENT Apache Flink® SQL Development¶. Most stream processing use cases can be solved with continuous SQL queries. Common tasks include data transformations, enrichment, joins, and aggregations, as well as moving events from one system to another and continuously updating views with low latency. APACHE FLINK STREAM PROCESSING & ANALYTICS Original Creators of Apache Flink®. Ververica Platform enables every enterprise to take advantage and derive immediate insight from its data in real time. Powered by Apache Flink's robust streaming runtime, Ververica Platform makes this possible by providing an integrated solution for stateful stream processing and streaming analytics atscale.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders. Powered by Apache Flink, Ververica Platform provides high throughput, low latencydata
ABOUT US | ORIGINAL CREATORS OF APACHE FLINK | VERVERICA Ververica (formerly data Artisans) is the company founded by the original creators of the open source stream processing frameworkApache Flink.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform Community Edition is a stream processing platform with open source Apache Flink. Here is how you can set it up in 5minutes
STREAM PROCESSING & APACHE FLINK NEWS AND BEST PRACTICES Introducing StreamBurst as a Ververica Partner in South Africa. We are delighted to collaborate with Ververica and the original creators of Apache Flink to support our clients in South Africa with cutting edge real time streaming capabilities. Read More. Ververica Platform ,FLINK TRAINING
Apache Flink Troubleshooting & Operations Training. This course is a hands-on introduction to key topics relating to putting Flink applications into production, including configuring and tuning your job, deployment, operations, and maintenance. Also included is a solid introduction to the organization of the Flink runtime to help you tuneand
CAREERS | APACHE FLINK JOBS | VERVERICA What our team says. " Working with people where each individual is an expert in its field. It often feels like working in a team of tech leads. ". - Software Engineer / Software Developer. What our team says. " Working with Ververica team is refreshing as we are all working toward the same objective. NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. KUBERNETES POD TEMPLATES The templates are used by Ververica Platform during deployment of Flink clusters. System-level configuration is applied on top of the user-provided templates. Overall correctness of the resulting pod specs is only validated lazily at Flink cluster creation time, but each provided V1PodTemplateSpec is validated eagerly for structuralcorrectness.
APACHE FLINK STREAM PROCESSING & ANALYTICS Original Creators of Apache Flink®. Ververica Platform enables every enterprise to take advantage and derive immediate insight from its data in real time. Powered by Apache Flink's robust streaming runtime, Ververica Platform makes this possible by providing an integrated solution for stateful stream processing and streaming analytics atscale.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders. Powered by Apache Flink, Ververica Platform provides high throughput, low latencydata
ABOUT US | ORIGINAL CREATORS OF APACHE FLINK | VERVERICA Ververica (formerly data Artisans) is the company founded by the original creators of the open source stream processing frameworkApache Flink.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform Community Edition is a stream processing platform with open source Apache Flink. Here is how you can set it up in 5minutes
STREAM PROCESSING & APACHE FLINK NEWS AND BEST PRACTICES Introducing StreamBurst as a Ververica Partner in South Africa. We are delighted to collaborate with Ververica and the original creators of Apache Flink to support our clients in South Africa with cutting edge real time streaming capabilities. Read More. Ververica Platform ,FLINK TRAINING
Apache Flink Troubleshooting & Operations Training. This course is a hands-on introduction to key topics relating to putting Flink applications into production, including configuring and tuning your job, deployment, operations, and maintenance. Also included is a solid introduction to the organization of the Flink runtime to help you tuneand
CAREERS | APACHE FLINK JOBS | VERVERICA What our team says. " Working with people where each individual is an expert in its field. It often feels like working in a team of tech leads. ". - Software Engineer / Software Developer. What our team says. " Working with Ververica team is refreshing as we are all working toward the same objective. NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. KUBERNETES POD TEMPLATES The templates are used by Ververica Platform during deployment of Flink clusters. System-level configuration is applied on top of the user-provided templates. Overall correctness of the resulting pod specs is only validated lazily at Flink cluster creation time, but each provided V1PodTemplateSpec is validated eagerly for structuralcorrectness.
ABOUT US | ORIGINAL CREATORS OF APACHE FLINK | VERVERICA Who we are. Ververica's mission is to power the core business of every company with cutting-edge real-time stream processing technology. In order to do that, the team at Ververica focuses on building the best technology available for stream processing, while at the same time creating a global and open community around this technology. CAREERS | APACHE FLINK JOBS | VERVERICA What our team says. " Working with people where each individual is an expert in its field. It often feels like working in a team of tech leads. ". - Software Engineer / Software Developer. What our team says. " Working with Ververica team is refreshing as we are all working toward the same objective. NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
STREAM ALLIANCE PROGRAM Business Partner. Business Partners aiming to enhance their customers’ business with real-time data stream processing, can differentiate by reselling the Ververica Platform and benefit from first hand vendor access and advocacy.IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. WHAT IS STREAM PROCESSING The systems that receive and send the data streams and execute the application or analytics logic are called stream processors. The basic responsibilities of a stream processor are to ensure that data flows efficiently and the computation scales and is fault tolerant. Apache Flink is a powerful, mature, open source stream processing framework VERVERICA PLATFORM DOCKER IMAGES Ververica Platform Public Registry¶. The registry is hosted at registry.ververica.com, and the images of a particular Ververica Platform version are published under the specific version prefix.. For Ververica Platform 2.4, the following images are available and needed to run Ververica Platform. CONTINUOUS QUERIES ON DYNAMIC TABLES: ANALYZING DATA First, the stream is converted into a dynamic table. The dynamic table is queried with a continuous query, which produces a new dynamic table. Finally, the resulting table is converted back into a stream. It is important to note that this is only the logical model and does not imply how the query is MANAGING LARGE STATE IN APACHE FLINK®: AN INTRO TO Apache Flink was purpose-built for stateful stream processing. Let's quickly review: what is state in a stream processing application? I defined state and stateful stream processing in a previous blog post, and in case you need a refresher, state is defined as memory in an application’s operators that stores information about previously-seen events that you can use to influence the APACHE FLINK® SQL DEVELOPMENT Apache Flink® SQL Development¶. Most stream processing use cases can be solved with continuous SQL queries. Common tasks include data transformations, enrichment, joins, and aggregations, as well as moving events from one system to another and continuously updating views with low latency. APACHE FLINK STREAM PROCESSING & ANALYTICS Ververica is the company founded by the original creators of Apache Flink, enabling companies to run in real-time with Ververica Platform. ABOUT US | ORIGINAL CREATORS OF APACHE FLINK | VERVERICA Ververica (formerly data Artisans) is the company founded by the original creators of the open source stream processing frameworkApache Flink.
APACHE FLINK STREAM PROCESSING PLATFORM Powered by Apache Flink, Ververica Platform provides high throughput, low latency data processing, powerful abstractions and the operational flexibility trusted by some of the world’s largest and most successful data-driven enterprises such as Alibaba, Netflix and Uber. APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform Community Edition is a stream processing platform with open source Apache Flink. Here is how you can set it up in 5minutes
APACHE FLINK STREAM PROCESSING PLATFORM PRICING Explore the pricing, different editions and license programs of Ververica Platform, the enterprise-ready Apache Flink stream processing platform. CAREERS | APACHE FLINK JOBS | VERVERICA We are looking for talented people to join us and redefine how companies do data processing, analytics, and applications. Take a look at our open positionsFLINK TRAINING
About. This course is a hands-on introduction to Apache Flink for Java and Scala developers who want to learn to build streaming applications. After taking this course you will have learned enough about Flink's core concepts, its DataStream API, and its distributed runtime to be able to develop solutions for a wide variety of use cases, including data pipelines and ETL jobs, streaming NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
KUBERNETES POD TEMPLATES The pods attribute allows customization of common Kubernetes options that apply to both JobManager and TaskManager pods.. The jobManagerPodTemplate and taskManagerPodTemplate allow you to individually customize the JobManager and/or TaskManager pods with full flexibility by exposing the Kubernetes V1PodTemplateSpec API object.. In both cases, the attributes you specify will be mergedIMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. APACHE FLINK STREAM PROCESSING & ANALYTICS Ververica is the company founded by the original creators of Apache Flink, enabling companies to run in real-time with Ververica Platform. ABOUT US | ORIGINAL CREATORS OF APACHE FLINK | VERVERICA Ververica (formerly data Artisans) is the company founded by the original creators of the open source stream processing frameworkApache Flink.
APACHE FLINK STREAM PROCESSING PLATFORM Powered by Apache Flink, Ververica Platform provides high throughput, low latency data processing, powerful abstractions and the operational flexibility trusted by some of the world’s largest and most successful data-driven enterprises such as Alibaba, Netflix and Uber. APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform Community Edition is a stream processing platform with open source Apache Flink. Here is how you can set it up in 5minutes
APACHE FLINK STREAM PROCESSING PLATFORM PRICING Explore the pricing, different editions and license programs of Ververica Platform, the enterprise-ready Apache Flink stream processing platform. CAREERS | APACHE FLINK JOBS | VERVERICA We are looking for talented people to join us and redefine how companies do data processing, analytics, and applications. Take a look at our open positionsFLINK TRAINING
About. This course is a hands-on introduction to Apache Flink for Java and Scala developers who want to learn to build streaming applications. After taking this course you will have learned enough about Flink's core concepts, its DataStream API, and its distributed runtime to be able to develop solutions for a wide variety of use cases, including data pipelines and ETL jobs, streaming NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
KUBERNETES POD TEMPLATES The pods attribute allows customization of common Kubernetes options that apply to both JobManager and TaskManager pods.. The jobManagerPodTemplate and taskManagerPodTemplate allow you to individually customize the JobManager and/or TaskManager pods with full flexibility by exposing the Kubernetes V1PodTemplateSpec API object.. In both cases, the attributes you specify will be mergedIMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. ABOUT US | ORIGINAL CREATORS OF APACHE FLINK | VERVERICA Ververica (formerly data Artisans) is the company founded by the original creators of the open source stream processing frameworkApache Flink.
CAREERS | APACHE FLINK JOBS | VERVERICA We are looking for talented people to join us and redefine how companies do data processing, analytics, and applications. Take a look at our open positions NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
STREAM ALLIANCE PROGRAM Partners offering big data, infrastructure or architecture consulting services, can leverage the expertise of the original creators of Apache Flink, to elevate their portfolio towards real-time data streamprocessing.
IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. VERVERICA PLATFORM DOCKER IMAGES Ververica Platform Public Registry¶. The registry is hosted at registry.ververica.com, and the images of a particular Ververica Platform version are published under the specific version prefix.. For Ververica Platform 2.4, the following images are available and needed to run Ververica Platform.FLINK SUMMER CAMP
Apache Flink Summer Camp is a one-time online event featuring two-day courses on Stateful Functions and Flink SQL on May 17-21. The training is a great fit for those who are new to Flink and have knowledge ofSQL and/or Python.
MANAGING LARGE STATE IN APACHE FLINK®: AN INTRO TO Apache Flink was purpose-built for stateful stream processing. Let's quickly review: what is state in a stream processing application? I defined state and stateful stream processing in a previous blog post, and in case you need a refresher, state is defined as memory in an application’s operators that stores information about previously-seen events that you can use to influence the CONTINUOUS QUERIES ON DYNAMIC TABLES: ANALYZING DATA Xiaowei Jiang is a Senior Director in Alibaba’s Search Infrastructure division, and Shaoxuan Wang is a Senior Manager in Alibaba's Search Infrastructure division. APACHE FLINK® SQL DEVELOPMENT Apache Flink® SQL Development¶. Most stream processing use cases can be solved with continuous SQL queries. Common tasks include data transformations, enrichment, joins, and aggregations, as well as moving events from one system to another and continuously updating views with low latency. APACHE FLINK STREAM PROCESSING & ANALYTICS Original Creators of Apache Flink®. Ververica Platform enables every enterprise to take advantage and derive immediate insight from its data in real time. Powered by Apache Flink's robust streaming runtime, Ververica Platform makes this possible by providing an integrated solution for stateful stream processing and streaming analytics atscale.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders. Powered by Apache Flink, Ververica Platform provides high throughput, low latencydata
STREAM PROCESSING & APACHE FLINK NEWS AND BEST PRACTICES Introducing StreamBurst as a Ververica Partner in South Africa. We are delighted to collaborate with Ververica and the original creators of Apache Flink to support our clients in South Africa with cutting edge real time streaming capabilities. Read More. Ververica Platform , APACHE FLINK & STREAM PROCESSING USE CASES Intuit used Apache Flink as the primary stream processing engine in its self-serve stream processing platform. Apache Flink is a critical component in performing real time data processing for the technology company. Learn more. Learn More. Machine Learning. SOFTWARE EVALUATION LICENSE AGREEMENT This Evaluation License Agreement (“Agreement”) is made as of the date of the acceptance of the terms of this Agreement (“Effective Date”) and is between Ververica GmbH ("Ververica"), located at Invalidenstrasse 115, Berlin 10115, Germany and the entity client on whose behalf this Agreement is accepted (“Client”) provided that the Client is not an individual private consumer under KUBERNETES POD TEMPLATES The templates are used by Ververica Platform during deployment of Flink clusters. System-level configuration is applied on top of the user-provided templates. Overall correctness of the resulting pod specs is only validated lazily at Flink cluster creation time, but each provided V1PodTemplateSpec is validated eagerly for structuralcorrectness.
VERVERICA PLATFORM DOCKER IMAGES Ververica Platform Public Registry¶. The registry is hosted at registry.ververica.com, and the images of a particular Ververica Platform version are published under the specific version prefix.. For Ververica Platform 2.4, the following images are available and needed to run Ververica Platform. SMART SYSTEMS IOT USE CASE WITH OPEN SOURCE KAFKA, FLINK IoT systems use data and artificial intelligence (AI) to monitor, control, or predict the behavior of internet-connected devices. This post provides a step-by-step tutorial that demonstrates how IoT streams can be processed and inserted into CrateDB for furtheranalyses.
DATA ARTISANS + ALIBABA: A NEW CHAPTER FOR OPEN SOURCE BIG Moving forward together, data Artisans and Alibaba will not only continue, but accelerate contributions to Apache Flink and open source Big Data. As a first step, Alibaba announced their commitment to contribute their in-house developments around Flink — Blink — to the open source community. Our customers and partners can expect thesame
APACHE FLINK® SQL DEVELOPMENT Apache Flink® SQL Development¶. Most stream processing use cases can be solved with continuous SQL queries. Common tasks include data transformations, enrichment, joins, and aggregations, as well as moving events from one system to another and continuously updating views with low latency. APACHE FLINK STREAM PROCESSING & ANALYTICS Original Creators of Apache Flink®. Ververica Platform enables every enterprise to take advantage and derive immediate insight from its data in real time. Powered by Apache Flink's robust streaming runtime, Ververica Platform makes this possible by providing an integrated solution for stateful stream processing and streaming analytics atscale.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders. Powered by Apache Flink, Ververica Platform provides high throughput, low latencydata
STREAM PROCESSING & APACHE FLINK NEWS AND BEST PRACTICES Introducing StreamBurst as a Ververica Partner in South Africa. We are delighted to collaborate with Ververica and the original creators of Apache Flink to support our clients in South Africa with cutting edge real time streaming capabilities. Read More. Ververica Platform , APACHE FLINK & STREAM PROCESSING USE CASES Intuit used Apache Flink as the primary stream processing engine in its self-serve stream processing platform. Apache Flink is a critical component in performing real time data processing for the technology company. Learn more. Learn More. Machine Learning. SOFTWARE EVALUATION LICENSE AGREEMENT This Evaluation License Agreement (“Agreement”) is made as of the date of the acceptance of the terms of this Agreement (“Effective Date”) and is between Ververica GmbH ("Ververica"), located at Invalidenstrasse 115, Berlin 10115, Germany and the entity client on whose behalf this Agreement is accepted (“Client”) provided that the Client is not an individual private consumer under KUBERNETES POD TEMPLATES The templates are used by Ververica Platform during deployment of Flink clusters. System-level configuration is applied on top of the user-provided templates. Overall correctness of the resulting pod specs is only validated lazily at Flink cluster creation time, but each provided V1PodTemplateSpec is validated eagerly for structuralcorrectness.
VERVERICA PLATFORM DOCKER IMAGES Ververica Platform Public Registry¶. The registry is hosted at registry.ververica.com, and the images of a particular Ververica Platform version are published under the specific version prefix.. For Ververica Platform 2.4, the following images are available and needed to run Ververica Platform. SMART SYSTEMS IOT USE CASE WITH OPEN SOURCE KAFKA, FLINK IoT systems use data and artificial intelligence (AI) to monitor, control, or predict the behavior of internet-connected devices. This post provides a step-by-step tutorial that demonstrates how IoT streams can be processed and inserted into CrateDB for furtheranalyses.
DATA ARTISANS + ALIBABA: A NEW CHAPTER FOR OPEN SOURCE BIG Moving forward together, data Artisans and Alibaba will not only continue, but accelerate contributions to Apache Flink and open source Big Data. As a first step, Alibaba announced their commitment to contribute their in-house developments around Flink — Blink — to the open source community. Our customers and partners can expect thesame
APACHE FLINK® SQL DEVELOPMENT Apache Flink® SQL Development¶. Most stream processing use cases can be solved with continuous SQL queries. Common tasks include data transformations, enrichment, joins, and aggregations, as well as moving events from one system to another and continuously updating views with low latency. CAREERS | APACHE FLINK JOBS | VERVERICA What our team says. " Working with people where each individual is an expert in its field. It often feels like working in a team of tech leads. ". - Software Engineer / Software Developer. What our team says. " Working with Ververica team is refreshing as we are all working toward the same objective. APACHE FLINK & STREAM PROCESSING USE CASES Intuit used Apache Flink as the primary stream processing engine in its self-serve stream processing platform. Apache Flink is a critical component in performing real time data processing for the technology company. Learn more. Learn More. Machine Learning. NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
STREAM ALLIANCE PROGRAM Business Partner. Business Partners aiming to enhance their customers’ business with real-time data stream processing, can differentiate by reselling the Ververica Platform and benefit from first hand vendor access and advocacy.IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. INTRODUCING OUR NEW NAME! Introducing our new name! Today, we’re excited to share the next phase of our journey - introducing our new name! A few weeks ago we announced that we have joined forces with Alibaba to build a new initiative around open source data processing technologies. Deepening our partnership with Alibaba came after a long-standing collaborationaround
SOFTWARE EVALUATION LICENSE AGREEMENT This Evaluation License Agreement (“Agreement”) is made as of the date of the acceptance of the terms of this Agreement (“Effective Date”) and is between Ververica GmbH ("Ververica"), located at Invalidenstrasse 115, Berlin 10115, Germany and the entity client on whose behalf this Agreement is accepted (“Client”) provided that the Client is not an individual private consumer underGETTING STARTED
Under the hood, Ververica Platform now performs an application upgrade according to the configured Upgrade and Restore Strategy.For your Deployment, these default to STATEFUL and LATEST_STATE and Ververica Platform has triggered a graceful shutdown of your Flink application while taking a consistent snapshot of its state via a savepoint. You can see a list of all past savepoints and retained APACHE FLINK AND APACHE KAFKA STREAMS The fundamental differences between a Flink and a Kafka Streams program lie in the way these are deployed and managed (which often has implications to who owns these applications from an organizational perspective) and how the parallel processing (including fault tolerance) is coordinated. These are core differences - they are ingrained in the architecture of these two systems. MANAGING LARGE STATE IN APACHE FLINK®: AN INTRO TO Apache Flink was purpose-built for stateful stream processing. Let's quickly review: what is state in a stream processing application? I defined state and stateful stream processing in a previous blog post, and in case you need a refresher, state is defined as memory in an application’s operators that stores information about previously-seen events that you can use to influence the APACHE FLINK STREAM PROCESSING & ANALYTICS Original Creators of Apache Flink®. Ververica Platform enables every enterprise to take advantage and derive immediate insight from its data in real time. Powered by Apache Flink's robust streaming runtime, Ververica Platform makes this possible by providing an integrated solution for stateful stream processing and streaming analytics atscale.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders. Powered by Apache Flink, Ververica Platform provides high throughput, low latencydata
STREAM PROCESSING & APACHE FLINK NEWS AND BEST PRACTICES Introducing StreamBurst as a Ververica Partner in South Africa. We are delighted to collaborate with Ververica and the original creators of Apache Flink to support our clients in South Africa with cutting edge real time streaming capabilities. Read More. Ververica Platform , APACHE FLINK & STREAM PROCESSING USE CASES Intuit used Apache Flink as the primary stream processing engine in its self-serve stream processing platform. Apache Flink is a critical component in performing real time data processing for the technology company. Learn more. Learn More. Machine Learning. SOFTWARE EVALUATION LICENSE AGREEMENT This Evaluation License Agreement (“Agreement”) is made as of the date of the acceptance of the terms of this Agreement (“Effective Date”) and is between Ververica GmbH ("Ververica"), located at Invalidenstrasse 115, Berlin 10115, Germany and the entity client on whose behalf this Agreement is accepted (“Client”) provided that the Client is not an individual private consumer under KUBERNETES POD TEMPLATES The templates are used by Ververica Platform during deployment of Flink clusters. System-level configuration is applied on top of the user-provided templates. Overall correctness of the resulting pod specs is only validated lazily at Flink cluster creation time, but each provided V1PodTemplateSpec is validated eagerly for structuralcorrectness.
VERVERICA PLATFORM DOCKER IMAGES Ververica Platform Public Registry¶. The registry is hosted at registry.ververica.com, and the images of a particular Ververica Platform version are published under the specific version prefix.. For Ververica Platform 2.4, the following images are available and needed to run Ververica Platform. SMART SYSTEMS IOT USE CASE WITH OPEN SOURCE KAFKA, FLINK IoT systems use data and artificial intelligence (AI) to monitor, control, or predict the behavior of internet-connected devices. This post provides a step-by-step tutorial that demonstrates how IoT streams can be processed and inserted into CrateDB for furtheranalyses.
DATA ARTISANS + ALIBABA: A NEW CHAPTER FOR OPEN SOURCE BIG Moving forward together, data Artisans and Alibaba will not only continue, but accelerate contributions to Apache Flink and open source Big Data. As a first step, Alibaba announced their commitment to contribute their in-house developments around Flink — Blink — to the open source community. Our customers and partners can expect thesame
APACHE FLINK® SQL DEVELOPMENT Apache Flink® SQL Development¶. Most stream processing use cases can be solved with continuous SQL queries. Common tasks include data transformations, enrichment, joins, and aggregations, as well as moving events from one system to another and continuously updating views with low latency. APACHE FLINK STREAM PROCESSING & ANALYTICS Original Creators of Apache Flink®. Ververica Platform enables every enterprise to take advantage and derive immediate insight from its data in real time. Powered by Apache Flink's robust streaming runtime, Ververica Platform makes this possible by providing an integrated solution for stateful stream processing and streaming analytics atscale.
APACHE FLINK STREAM PROCESSING PLATFORM Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders. Powered by Apache Flink, Ververica Platform provides high throughput, low latencydata
STREAM PROCESSING & APACHE FLINK NEWS AND BEST PRACTICES Introducing StreamBurst as a Ververica Partner in South Africa. We are delighted to collaborate with Ververica and the original creators of Apache Flink to support our clients in South Africa with cutting edge real time streaming capabilities. Read More. Ververica Platform , APACHE FLINK & STREAM PROCESSING USE CASES Intuit used Apache Flink as the primary stream processing engine in its self-serve stream processing platform. Apache Flink is a critical component in performing real time data processing for the technology company. Learn more. Learn More. Machine Learning. SOFTWARE EVALUATION LICENSE AGREEMENT This Evaluation License Agreement (“Agreement”) is made as of the date of the acceptance of the terms of this Agreement (“Effective Date”) and is between Ververica GmbH ("Ververica"), located at Invalidenstrasse 115, Berlin 10115, Germany and the entity client on whose behalf this Agreement is accepted (“Client”) provided that the Client is not an individual private consumer under KUBERNETES POD TEMPLATES The templates are used by Ververica Platform during deployment of Flink clusters. System-level configuration is applied on top of the user-provided templates. Overall correctness of the resulting pod specs is only validated lazily at Flink cluster creation time, but each provided V1PodTemplateSpec is validated eagerly for structuralcorrectness.
VERVERICA PLATFORM DOCKER IMAGES Ververica Platform Public Registry¶. The registry is hosted at registry.ververica.com, and the images of a particular Ververica Platform version are published under the specific version prefix.. For Ververica Platform 2.4, the following images are available and needed to run Ververica Platform. SMART SYSTEMS IOT USE CASE WITH OPEN SOURCE KAFKA, FLINK IoT systems use data and artificial intelligence (AI) to monitor, control, or predict the behavior of internet-connected devices. This post provides a step-by-step tutorial that demonstrates how IoT streams can be processed and inserted into CrateDB for furtheranalyses.
DATA ARTISANS + ALIBABA: A NEW CHAPTER FOR OPEN SOURCE BIG Moving forward together, data Artisans and Alibaba will not only continue, but accelerate contributions to Apache Flink and open source Big Data. As a first step, Alibaba announced their commitment to contribute their in-house developments around Flink — Blink — to the open source community. Our customers and partners can expect thesame
APACHE FLINK® SQL DEVELOPMENT Apache Flink® SQL Development¶. Most stream processing use cases can be solved with continuous SQL queries. Common tasks include data transformations, enrichment, joins, and aggregations, as well as moving events from one system to another and continuously updating views with low latency. CAREERS | APACHE FLINK JOBS | VERVERICA What our team says. " Working with people where each individual is an expert in its field. It often feels like working in a team of tech leads. ". - Software Engineer / Software Developer. What our team says. " Working with Ververica team is refreshing as we are all working toward the same objective. APACHE FLINK & STREAM PROCESSING USE CASES Intuit used Apache Flink as the primary stream processing engine in its self-serve stream processing platform. Apache Flink is a critical component in performing real time data processing for the technology company. Learn more. Learn More. Machine Learning. NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
STREAM ALLIANCE PROGRAM Business Partner. Business Partners aiming to enhance their customers’ business with real-time data stream processing, can differentiate by reselling the Ververica Platform and benefit from first hand vendor access and advocacy.IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. INTRODUCING OUR NEW NAME! Introducing our new name! Today, we’re excited to share the next phase of our journey - introducing our new name! A few weeks ago we announced that we have joined forces with Alibaba to build a new initiative around open source data processing technologies. Deepening our partnership with Alibaba came after a long-standing collaborationaround
SOFTWARE EVALUATION LICENSE AGREEMENT This Evaluation License Agreement (“Agreement”) is made as of the date of the acceptance of the terms of this Agreement (“Effective Date”) and is between Ververica GmbH ("Ververica"), located at Invalidenstrasse 115, Berlin 10115, Germany and the entity client on whose behalf this Agreement is accepted (“Client”) provided that the Client is not an individual private consumer underGETTING STARTED
Under the hood, Ververica Platform now performs an application upgrade according to the configured Upgrade and Restore Strategy.For your Deployment, these default to STATEFUL and LATEST_STATE and Ververica Platform has triggered a graceful shutdown of your Flink application while taking a consistent snapshot of its state via a savepoint. You can see a list of all past savepoints and retained APACHE FLINK AND APACHE KAFKA STREAMS The fundamental differences between a Flink and a Kafka Streams program lie in the way these are deployed and managed (which often has implications to who owns these applications from an organizational perspective) and how the parallel processing (including fault tolerance) is coordinated. These are core differences - they are ingrained in the architecture of these two systems. MANAGING LARGE STATE IN APACHE FLINK®: AN INTRO TO Apache Flink was purpose-built for stateful stream processing. Let's quickly review: what is state in a stream processing application? I defined state and stateful stream processing in a previous blog post, and in case you need a refresher, state is defined as memory in an application’s operators that stores information about previously-seen events that you can use to influence the APACHE FLINK STREAM PROCESSING & ANALYTICS Ververica is the company founded by the original creators of Apache Flink, enabling companies to run in real-time with Ververica Platform. ABOUT US | ORIGINAL CREATORS OF APACHE FLINK | VERVERICA Ververica (formerly data Artisans) is the company founded by the original creators of the open source stream processing frameworkApache Flink.
APACHE FLINK STREAM PROCESSING PLATFORM Powered by Apache Flink, Ververica Platform provides high throughput, low latency data processing, powerful abstractions and the operational flexibility trusted by some of the world’s largest and most successful data-driven enterprises such as Alibaba, Netflix and Uber.FLINK TRAINING
About. This course is a hands-on introduction to Apache Flink for Java and Scala developers who want to learn to build streaming applications. After taking this course you will have learned enough about Flink's core concepts, its DataStream API, and its distributed runtime to be able to develop solutions for a wide variety of use cases, including data pipelines and ETL jobs, streaming STREAM ALLIANCE PROGRAM Partners offering big data, infrastructure or architecture consulting services, can leverage the expertise of the original creators of Apache Flink, to elevate their portfolio towards real-time data streamprocessing.
SOFTWARE EVALUATION LICENSE AGREEMENT This Evaluation License Agreement (“Agreement”) is made as of the date of the acceptance of the terms of this Agreement (“Effective Date”) and is between Ververica GmbH ("Ververica"), located at Invalidenstrasse 115, Berlin 10115, Germany and the entity client on whose behalf this Agreement is accepted (“Client”) provided that the Client is not an individual private consumer under KUBERNETES POD TEMPLATES The pods attribute allows customization of common Kubernetes options that apply to both JobManager and TaskManager pods.. The jobManagerPodTemplate and taskManagerPodTemplate allow you to individually customize the JobManager and/or TaskManager pods with full flexibility by exposing the Kubernetes V1PodTemplateSpec API object.. In both cases, the attributes you specify will be merged VERVERICA PLATFORM DOCKER IMAGES Ververica Platform Public Registry¶. The registry is hosted at registry.ververica.com, and the images of a particular Ververica Platform version are published under the specific version prefix.. For Ververica Platform 2.4, the following images are available and needed to run Ververica Platform. APACHE FLINK® DEPLOYMENTS Specification ¶. A Deployment resources consists of a metadata section and a spec section. metadata contains auxiliary information to manage your Deployments. The spec describes your application and defines its behaviour and configuration. It consists of the following sections: A desired state to control the state of a Deployment.; Which strategy to apply when upgrading a running Flink job in APACHE FLINK® SQL DEVELOPMENT Apache Flink® SQL Development¶. Most stream processing use cases can be solved with continuous SQL queries. Common tasks include data transformations, enrichment, joins, and aggregations, as well as moving events from one system to another and continuously updating views with low latency. APACHE FLINK STREAM PROCESSING & ANALYTICS Ververica is the company founded by the original creators of Apache Flink, enabling companies to run in real-time with Ververica Platform. ABOUT US | ORIGINAL CREATORS OF APACHE FLINK | VERVERICA Ververica (formerly data Artisans) is the company founded by the original creators of the open source stream processing frameworkApache Flink.
APACHE FLINK STREAM PROCESSING PLATFORM Powered by Apache Flink, Ververica Platform provides high throughput, low latency data processing, powerful abstractions and the operational flexibility trusted by some of the world’s largest and most successful data-driven enterprises such as Alibaba, Netflix and Uber.FLINK TRAINING
About. This course is a hands-on introduction to Apache Flink for Java and Scala developers who want to learn to build streaming applications. After taking this course you will have learned enough about Flink's core concepts, its DataStream API, and its distributed runtime to be able to develop solutions for a wide variety of use cases, including data pipelines and ETL jobs, streaming STREAM ALLIANCE PROGRAM Partners offering big data, infrastructure or architecture consulting services, can leverage the expertise of the original creators of Apache Flink, to elevate their portfolio towards real-time data streamprocessing.
SOFTWARE EVALUATION LICENSE AGREEMENT This Evaluation License Agreement (“Agreement”) is made as of the date of the acceptance of the terms of this Agreement (“Effective Date”) and is between Ververica GmbH ("Ververica"), located at Invalidenstrasse 115, Berlin 10115, Germany and the entity client on whose behalf this Agreement is accepted (“Client”) provided that the Client is not an individual private consumer under KUBERNETES POD TEMPLATES The pods attribute allows customization of common Kubernetes options that apply to both JobManager and TaskManager pods.. The jobManagerPodTemplate and taskManagerPodTemplate allow you to individually customize the JobManager and/or TaskManager pods with full flexibility by exposing the Kubernetes V1PodTemplateSpec API object.. In both cases, the attributes you specify will be merged VERVERICA PLATFORM DOCKER IMAGES Ververica Platform Public Registry¶. The registry is hosted at registry.ververica.com, and the images of a particular Ververica Platform version are published under the specific version prefix.. For Ververica Platform 2.4, the following images are available and needed to run Ververica Platform. APACHE FLINK® DEPLOYMENTS Specification ¶. A Deployment resources consists of a metadata section and a spec section. metadata contains auxiliary information to manage your Deployments. The spec describes your application and defines its behaviour and configuration. It consists of the following sections: A desired state to control the state of a Deployment.; Which strategy to apply when upgrading a running Flink job in APACHE FLINK® SQL DEVELOPMENT Apache Flink® SQL Development¶. Most stream processing use cases can be solved with continuous SQL queries. Common tasks include data transformations, enrichment, joins, and aggregations, as well as moving events from one system to another and continuously updating views with low latency. ABOUT US | ORIGINAL CREATORS OF APACHE FLINK | VERVERICA Who we are. Ververica's mission is to power the core business of every company with cutting-edge real-time stream processing technology. In order to do that, the team at Ververica focuses on building the best technology available for stream processing, while at the same time creating a global and open community around this technology. APACHE FLINK STREAM PROCESSING PLATFORM Powered by Apache Flink, Ververica Platform provides high throughput, low latency data processing, powerful abstractions and the operational flexibility trusted by some of the world’s largest and most successful data-driven enterprises such as Alibaba, Netflix and Uber. APACHE FLINK STREAM PROCESSING PLATFORM DOWNLOAD Ververica Platform is an integrated platform for stateful stream processing and streaming analytics powered by Apache Flink. We have built Ververica Platform to cater for organizations with different needs and levels of stream processing adoption. CAREERS | APACHE FLINK JOBS | VERVERICA We are looking for talented people to join us and redefine how companies do data processing, analytics, and applications. Take a look at our open positions STREAM ALLIANCE PROGRAM Partners offering big data, infrastructure or architecture consulting services, can leverage the expertise of the original creators of Apache Flink, to elevate their portfolio towards real-time data streamprocessing.
NEED HELP? | VERVERICA | ORIGINAL CREATORS OF APACHE FLINK Contact us to learn more about Ververica Platform. We also offer Apache Flink training and consulting for teams. Get in touch with usnow.
INTRODUCING OUR NEW NAME! Today, we’re excited to share the next phase of our journey - introducing our new name! A few weeks ago we announced that we have joined forces with Alibaba to build a new initiative around open source data processing technologies.IMPRINT | VERVERICA
Ververica GmbH is neither willing nor obliged to participate in a dispute settlement procedure before a consumer arbitration board. SIMPLIFYING VERVERICA PLATFORM SQL ANALYTICS WITH UDFS The following two statements exemplify the table format for the commits table and the user mailing list table. A complete list of DDL statements to create all tables that were imported above is provided in our project’s README file.As you can see, they also contain a few specialities, e.g. flink_commits.filesChanged is a structured type on its own (an array of rows).GETTING STARTED
Under the hood, Ververica Platform now performs an application upgrade according to the configured Upgrade and Restore Strategy.For your Deployment, these default to STATEFUL and LATEST_STATE and Ververica Platform has triggered a graceful shutdown of your Flink application while taking a consistent snapshot of its state via a savepoint. You can see a list of all past savepoints and retained This website collects personal data and uses cookies to improve services. By clicking "Yes I agree", I hereby consent to the use of cookies as described in the PRIVACY POLICY.
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NEW VIDEO SERIES: STREAMING CONCEPTS & INTRODUCTION TO FLINK A new video series covering basic concepts of stream processing and open source Apache Flink. Watch now VIDEO: APACHE FLINK DATAFLOW & SNAPSHOTS Learn how Flink approaches distributed, fault-tolerant stream processing with its dataflow abstraction and snapshots mechanism.Watch now
EARLY ACCESS PROGRAM FOR FLINK SQL IN VERVERICA PLATFORM Flink SQL is coming to Ververica Platform later this year! Our Early Access Program grants access to our Flink SQL product before it becomes generally available in Ververica Platform later this year.Learn more
VERVERICA PLATFORM 2.3: AN END-TO-END PLATFORM FOR FLINK SQL With this latest release, Ververica Platform becomes an integrated end-to-end solution for the deployment and operations of Flink SQLFind out more
VIDEO: FLINK’S RUNTIME ARCHITECTURE & DEPLOYMENT OPTIONS Discover the architecture of the Flink runtime and the different deployment options available in Apache Flink. Watch now APACHE FLINK & VERVERICA PLATFORM USE CASES A collection of Apache Flink and Ververica Platform use cases for different stream processing challenges Explore use cases NEW VIDEO SERIES: STREAMING CONCEPTS & INTRODUCTION TO FLINK A new video series covering basic concepts of stream processing and open source Apache Flink. Watch now VIDEO: APACHE FLINK DATAFLOW & SNAPSHOTS Learn how Flink approaches distributed, fault-tolerant stream processing with its dataflow abstraction and snapshots mechanism.Watch now
EARLY ACCESS PROGRAM FOR FLINK SQL IN VERVERICA PLATFORM Flink SQL is coming to Ververica Platform later this year! Our Early Access Program grants access to our Flink SQL product before it becomes generally available in Ververica Platform later this year.Learn more
VERVERICA PLATFORM 2.3: AN END-TO-END PLATFORM FOR FLINK SQL With this latest release, Ververica Platform becomes an integrated end-to-end solution for the deployment and operations of Flink SQLFind out more
VIDEO: FLINK’S RUNTIME ARCHITECTURE & DEPLOYMENT OPTIONS Discover the architecture of the Flink runtime and the different deployment options available in Apache Flink. Watch now APACHE FLINK & VERVERICA PLATFORM USE CASES A collection of Apache Flink and Ververica Platform use cases for different stream processing challenges Explore use cases NEW VIDEO SERIES: STREAMING CONCEPTS & INTRODUCTION TO FLINK A new video series covering basic concepts of stream processing and open source Apache Flink. Watch now VIDEO: APACHE FLINK DATAFLOW & SNAPSHOTS Learn how Flink approaches distributed, fault-tolerant stream processing with its dataflow abstraction and snapshots mechanism.Watch now
EARLY ACCESS PROGRAM FOR FLINK SQL IN VERVERICA PLATFORM Flink SQL is coming to Ververica Platform later this year! Our Early Access Program grants access to our Flink SQL product before it becomes generally available in Ververica Platform later this year.Learn more __
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