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Wade Waldron

Wade Waldron

Principal Software Practice Lead

Closing Remarks

Congratulations on completing the Apache Flink® Table API: Processing Data Streams in Java course on Confluent Developer. You've learned how to use Apache Flink to build data streaming pipelines that transform messages as they flow through a series of Kafka topics. You are ready to start using these techniques in your projects.

However, you may want to keep learning. Below, you will find links to additional courses and materials that you can use to continue your education with Confluent Developer. Don't forget to join our communities to continue the conversation with others like yourself.

If you enjoyed the course, please consider sharing it with your network and tag us so we can share your success.

Resources

Do you have questions or comments? Join us in the #confluent-developer community Slack channel to engage in discussions with the creators of this content.

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Total 17

  1. Overview
    2 min
  2. What is the Apache Flink® Table API?
    8 min
  3. Using Apache Flink® in Confluent Cloud
    6 min
  4. Exercise: Connecting the Flink Table API to Confluent Cloud
    30 min
  5. Querying Apache Flink® Tables with the Select Statement
    6 min
  6. Filtering Data with the Apache Flink® Table API
    7 min
  7. Exercise: Querying Flink Tables with the Table API
    30 min
  8. Creating Apache Flink® Tables with the Table API
    7 min
  9. Writing to a Table with the Apache Flink® Table API
    6 min
  10. Exercise: Building a Data Streaming Pipeline with the Flink Table API
    20 min
  11. Automatic Watermarking in Confluent Cloud
    8 min
  12. Aggregating Data with the Apache Flink® Table API
    7 min
  13. Using Windows to Aggregate Data with the Apache Flink® Table API
    9 min
  14. Exercise: Aggregating Data Over Time with the Flink Table API
    20 min
  15. Joining Flink Tables using the Apache Flink® Table API
    6 min
  16. Exercise: Combining Data from Multiple Streams with the Flink Table API
    20 min
  17. Closing Remarks
    1 min

Related Resources

Docs

Table API on Confluent Cloud for Apache Flink | Confluent Documentation

Docs

Stream Processing and SQL with Confluent Cloud for Apache Flink®

Closing Remarks

That brings us to the end of the course.

You've learned how to use Apache Flink to build data streaming pipelines that transform messages as they flow through a series of Kafka topics.

You are ready to start using these techniques in your own projects, but maybe you want to keep learning.

There are additional learning opportunities available on Confluent Developer, including courses, tutorials, and more.

If you want to learn about Flink on Confluent Cloud, you can check out our Flink 101 or Flink SQL courses.

If you are using Confluent Platform, the Datastream course might interest you.

Or browse our catalog to find content on event-streaming, microservices, Apache Kafka, and more.

Don't forget to join our community for opportunities to exchange ideas with others going through the same journey.

Personally, I'd love to hear what you thought of the course.

Hit the feedback button on Confluent Developer, or drop a comment on LinkedIn and tag Confluent and myself.

Your opinions are always welcome.

Thanks for watching, and I'll see you in the next course.

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