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David Anderson

David Anderson

Software Practice Lead

The Flink Runtime

Overview

This video explains how a Flink cluster is organized, and the roles of Job Managers and Task Managers in running your applications.

Flink supports both batch and stream processing. These two execution modes place different demands on the runtime. Understanding these differences is helpful in appreciating what problems the Flink runtime has to solve, and why it is organized the way it is.

Topics:

  • Flink Client
  • Job Manager
  • Task Manager
  • Job Submission
  • Streaming vs. Batch Execution

Resources

Use the promo code FLINK101 to get $25 of free Confluent Cloud usage

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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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