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David Anderson

David Anderson

Software Practice Lead

Intro to Flink SQL

Overview

Flink SQL is a standards-compliant SQL engine for processing both batch and streaming data with the scalability, performance, and consistency of Apache Flink. This is a very expressive API, based on powerful abstractions, that can be used to quickly develop many common use cases.

This video explains the relationship of Flink SQL to the Table and DataStream APIs. Through an extended example, it illustrates the stream/table duality at the heart of Flink SQL.

Topics:

  • The Flink APIs
  • Stream/Table Duality and Dynamic Tables
  • Features in Flink SQL
  • Streaming vs. Batch in Flink SQL

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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