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Handling Fast Data with Apache Spark SQL and Streaming

Course Summary

Apache Spark is a leader in enabling quick and efficient data processing. This course will teach you how to use Spark's SQL, Streaming, and even the newer Structured Streaming APIs to create applications able to handle data as it arrives.


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    Course Syllabus

    Course Overview
    - 2m 4s

    —Course Overview 2m 4s
    Introduction
    - 21m 49s

    —Introduction 1m 52s
    —Fast Data: Avoiding Lambda Architecture Complexity 5m 57s
    —What to Expect 3m 57s
    —Spark 2.x 7m 51s
    —Resources 1m 15s
    —Summary 0m 55s
    Querying Data with the DataFrames (Part 1)
    - 43m 10s
    Querying Data with the DataFrames (Part 2)
    - 41m 8s
    Improving Type Safety with Datasets
    - 41m 20s
    Processing Data with the Streaming API
    - 1h 7m
    Optimizing, Structured Streaming, and Spark 2.x
    - 58m 3s


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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