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course: Apache Flink® 101

Intro to Stream Processing with Apache Flink

8 min
David Anderson

David Anderson

Software Practice Lead

Intro to Stream Processing with Apache Flink

Overview

Today’s businesses are increasingly software-defined, and their business processes are being automated. Whether it’s orders and shipments, or downloads and clicks, business events can always be streamed. Flink can be used to manipulate, process, and react to these streaming events as they occur.

This video introduces Flink, explains why it's useful, and presents some of the important patterns Flink provides for stream processing.

Topics:

  • What is Stream Processing?
  • Why Flink?
  • Bounded vs. Unbounded Streams
  • Sources and Sinks
  • The Job Graph
  • Operators
  • Parallel Processing
  • Forwarding, Repartitioning, and Rebalancing
  • Using SQL to Describe Stream Processing Pipelines

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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