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Apache Spark Fundamentals

Course Summary

This course will teach you how to use Apache Spark to analyze your big data at lightning-fast speeds, leaving Hadoop in the dust!


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    Course Syllabus

    Getting Started
    - 46m 20s

    —Why Spark? 7m 14s
    —Hadoop Explosion to Spark Unification 7m 14s
    —Spark's Background 6m 18s
    —Installation 6m 55s
    —Spark Programming Languages 2m 44s
    —Hello Big Data! 6m 35s
    —Logistics 3m 28s
    —Resources 4m 55s
    —Summary 0m 53s
    Spark Core: Part 1
    - 56m 59s

    —Intro 2m 9s
    —Spark Appification 9m 20s
    —What Is an RDD? 4m 36s
    —Loading Data 9m 43s
    —Lambdas 3m 15s
    —Transforming Data 7m 12s
    —More Transformations 4m 50s
    —Actions and the Associative Property 2m 43s
    —Acting on Data 9m 54s
    —Persistence 1m 33s
    —Resources 1m 1s
    —Summary 0m 36s
    Spark Core: Part 2
    - 28m 5s
    Distribution and Instrumentation
    - 50m 14s
    Spark Libraries
    - 1h 3m
    Optimizations and the Future
    - 22m 25s


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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