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Getting Started with Stream Processing Using Apache Flink

Course Summary

Flink is a stateful, tolerant, and large scale system with excellent latency and throughput characteristics. It works with bounded and unbounded datasets using the same underlying stream-first architecture, focusing on streaming or unbounded data.


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    Course Syllabus

    Course Overview
    - 1m 34s

    —Course Overview 1m 34s
    Understanding Streaming Data and Stream Processing
    - 33m 37s

    —Why Stream Processing? 2m 16s
    —Batch Processing vs. Stream Processing 7m 3s
    —Requirements of Stream Processing Systems 5m 12s
    —Micro-batches for Stream Processing 2m 17s
    —Introducing Apache Flink for Stream Processing 4m 51s
    —Clients, Masters, and Workers 4m 13s
    —Install and Set up Flink 7m 43s
    Implementing Basic Operations on Streaming Data
    - 41m 35s
    Windowing Operations on Streams
    - 42m 45s
    Fault Tolerance with State and Checkpoints
    - 33m 35s
    Working with Multiple Stream Sources
    - 11m 37s


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

This course is listed under Open Source , Development & Implementations and Data & Information Management Community

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