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Data Transformations with Apache Pig

Course Summary

Pig is an open source engine for executing parallelized data transformations which run on Hadoop. This course shows you how Pig can help you work on incomplete data with an inconsistent schema, or perhaps no schema at all.


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    Course Syllabus

    Course Overview
    - 2m 5s

    —Course Overview 2m 5s
    Introducing Pig
    - 20m 29s

    —What You Need to Get Started 2m 29s
    —Why Do We Need Data? 3m 1s
    —Hive for Analytical Processing 2m 4s
    —When Do We Use Apache Pig? 1m 50s
    —Pig for Extract, Transform, and Load Operations 3m 47s
    —Introducing Pig Latin 3m 19s
    —Pig on Hadoop and Other Technologies 3m 56s
    Using the GRUNT Shell
    - 18m 22s
    Loading Data into Relations
    - 45m 27s
    Working with Basic Data Transformations
    - 36m 26s
    Working with Advanced Data Transformations
    - 48m 16s
    Executing MapReduce Using Pig
    - 24m 25s


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

Related Posts:

Pig

 

Apache

 

MapReduce

 

Hadoop

 

Shell

 

Open source

 

Grunt

 

Hive

 

Glimpse

 

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