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- Data
Stream Processing with Apache Flink
0 Hours
Skill IQ
Apache Flink is an open-source engine for processing continuous streams of data in real time. This path teaches you to build production stream processing applications with Flink 2.x. You'll construct pipelines with the DataStream API, work with event time and windows, manage application state, and make jobs fault tolerant with checkpoints and savepoints. You'll finish by deploying, monitoring, and tuning Flink.
**This learning path is actively in production. More content will be added to this path as it gets published and becomes available in the library. To view the full list of content to be included in this Path, click the "About this path" tab below.**
Content in this path
Stream Processing with Apache Flink
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What You'll Learn
- How to get up and running with Apache Flink
- How to build streaming pipelines with Apache Flink
- How to process event-time data with Apache Flink
- How to manage application state with Apache Flink
- How to apply fault tolerance and recovery techniques with Apache Flink
- How to deploy, monitor, and optimize Apache Flink
- 1. Up and Running with Apache Flink
- 2. Build Streaming Pipelines with Apache Flink
- 3. Process Event-Time Data with Apache Flink
- 4. Manage Application State with Apache Flink
- 5. Fault Tolerance and Recovery with Apache Flink
- 6. Deploy, Monitor, and Optimize Apache Flink
Prerequisites
- Learners interested in this path should be familiar working with Java and Apache Kafka. No prior experience in Apache Flink or stream processing is required.
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