Ecosystem & MapReduce

Apache Hadoop    |    Beginner
  • 10 videos | 38m 57s
  • Includes Assessment
  • Earns a Badge
Rating 4.4 of 18 users Rating 4.4 of 18 users (18)
Hadoop is a framework providing for distributed storage and processing of large data sets. Explore the Hadoop ecosystem and Java MapReduce.

WHAT YOU WILL LEARN

  • Recognize basics of yarn
    Define basics of mapreduce
    Identify how mapreduce processes information
    Use code that runs on hadoop
    Define pig, hive, and hbase
  • Define sqoop, flume, mahout, and oozie
    Recognize storing and modeling data in hadoop
    Identify available commercial distributions for hadoop
    Recognize spark and its benefits over traditional mapreduce
    Filter information in hadoop

IN THIS COURSE

  • 3m 33s
    Upon completion of this video, you will be able to recognize the basics of YARN. FREE ACCESS
  • 5m 1s
    In this video, you will learn the basics of MapReduce. FREE ACCESS
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    3.  MapReduce Examples
    2m 50s
    In this video, you will learn how MapReduce processes information. FREE ACCESS
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    4.  Java MapReduce
    3m 44s
    Learn how to use code that runs on Hadoop. FREE ACCESS
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    5.  Hadoop Ecosystem (Pig, HIVE, HBase)
    4m 33s
    Find out how to define Pig, Hive, and HBase. FREE ACCESS
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    6.  Hadoop Ecosystem (Sqoop, Flume, Mahout, Oozie)
    3m 21s
    In this video, you will learn how to define Sqoop, Flume, Mahout, and Oozie. FREE ACCESS
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    7.  Hadoop Data Type
    6m 3s
    After completing this video, you will be able to store and model data in Hadoop. FREE ACCESS
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    8.  Hadoop Distributions
    3m 16s
    In this video, you will learn how to identify available commercial Hadoop distributions. FREE ACCESS
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    9.  Features of Hadoop Application
    4m 20s
    Upon completion of this video, you will be able to recognize Spark and its benefits over traditional MapReduce. FREE ACCESS
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    10.  Exercise: Practice Filtering in Hadoop
    2m 17s
    In this video, you will learn how to filter information in Hadoop. FREE ACCESS

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