Apache Flink Developer Training - May 2022

Ververica was founded in 2014 by the original creators of Apache Flink®. Ververica is headquartered in Berlin, Germany.We started Ververica because we saw the need for a large-scale data processing technology that is open source and at the same time properly rooted in long-tested principles and architectures from the database and distributed systems fields.From the very beginning, we developed Apache Flink® in the open source, and we witnessed and led Flink’s rapid community growth and industry adoption.Ververica provides Ververica Platform, with open source Apache Flink and Application Manager, to the enterprise. Ververica Platform enables high-throughput and low-latency solutions for event-driven applications.Visithttps://www.ververica.comfor more information.

Ververica GmbH

This course is a hands-on introduction to Apache Flink for Java and Scala developers who want to learn to build streaming applications.

<p>After taking this course you will have learned enough about Flink&#x27;s core concepts and the DataStream and SQL/Table APIs to be able to develop solutions for a wide variety of use cases, including data pipelines and ETL jobs, streaming analytics, and event-driven applications. </p><p>The programming exercises are oriented around building blocks used in common use cases, and will give you a chance to see how these APIs are used to solve real problems.</p><p>The programming exercises are oriented around common use cases and will give you a chance to see how these APIs are used to solve real problems.</p><h2>Level:</h2><p>Beginner; no prior knowledge of Apache Flink is assumed.</p><h2>Schedule:</h2><p>Wednesday, May 11, (9 am-11 am PDT, 6 pm-8 pm CET)</p><p>Thursday, May 12, (9 am-11 am PDT, 6 pm-8 pm CET)</p><p>Monday, May 16, (9 am-11 am PDT, 6 pm-8 pm CET)</p><p>Tuesday, May 17, (9 am-11 am PDT, 6 pm-8 pm CET)</p><h2>Format</h2><p>This is a remote, instructor-led training, spanning 4 sessions, each about 2 hours long. These instructor-led training sessions are not recorded, so please arrange your schedule so you can attend and participate. </p><p>Additional reading and hands-on exercises will be assigned as homework to be done between classes. This is a critical component of the course, and you should plan to spend at least a couple of hours after each session working with these self-paced materials. Give yourself extra time if you aren’t very familiar with Java (or Scala).</p><h2>Course Content</h2><ul><li>Stream Processing and Apache Flink</li><li>Intro to the Streaming Runtime and Execution Model</li><li>Working with Keyed State</li><li>Checkpointing and Exactly-once Guarantees</li><li>Event Time and Watermarks</li><li>Process Functions and Timers</li><li>Dynamic Tables and Streaming SQL</li><li>Windows and Streaming Analytics</li><li>Streaming Joins</li><li>Using Kafka with Flink</li><li>Serialization</li><li>Testing</li></ul><h2>Self-paced Content and Exercises</h2><ul><li>State Backends</li><li>Hands-on with Keyed State</li><li>Hands-on with Timers</li><li>Hands-on with Windows</li><li>Side Outputs</li><li>Hands-on with Flink SQL</li><li>Table/DataStream Integration</li></ul><h2>Prerequisites</h2><p>For the hands-on exercises you will need a computer with at least 8 GB RAM (MacOS, Linux, or Windows), with these tools installed:</p><ul><li>Git</li><li>Java 8 or 11 JDK (a JRE is not sufficient)</li><li>An IDE for Java (or Scala) development (we recommend IntelliJ)</li></ul><h2></h2><p>All of the slides will be shared with you.</p>

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Apache Flink Developer Training - May 2022

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Apache Flink Developer Training - May 2022

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