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course: Apache Flink® 101

Stateful Stream Processing with Flink SQL

5 min
David Anderson

David Anderson

Software Practice Lead

Stateful Stream Processing with Flink SQL

Overview

Flink SQL is organized around providing alternatives to queries where the runtime might have to maintain an ever-growing amount of state in order to provide correct results. This video explains which queries are potentially problematic, and why.

Topics:

  • Stateless Queries
  • Materializing Queries
  • Temporal Queries

Resources

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Total 15

  1. Introduction
    3 min
  2. Intro to Stream Processing with Apache Flink
    8 min
  3. Intro to Flink SQL
    5 min
  4. Batch and Stream Processing with Flink SQL (Exercise)
  5. The Flink Runtime
    5 min
  6. Using the Flink Web UI (Exercise)
  7. Using Kafka with Flink
    5 min
  8. Deploying an ETL Pipeline using Flink SQL (Exercise)
  9. Stateful Stream Processing with Flink SQL
    5 min
  10. Streaming Analytics with Flink SQL (Exercise)
  11. Event Time and Watermarks
    12 min
  12. Implementing and Troubleshooting Watermarks (Exercise)
  13. Checkpoints and Recovery
    5 min
  14. Experiencing Failure Recovery (Exercise)
  15. Conclusion
    4 min

Related Resources

Docs

Stream Processing and SQL with Confluent Cloud for Apache Flink®

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