Introduction to Hadoop

Big Data    |    Beginner
  • 7 videos | 27m 14s
  • Includes Assessment
  • Earns a Badge
Rating 4.5 of 65 users Rating 4.5 of 65 users (65)
Several tools are available for working with big data. Many of the tools are open-source and Linux-based. Explore the fundamentals of Apache Hadoop, including distributed computing, design principles, HDFS, Yarn, MapReduce, and Spark.

WHAT YOU WILL LEARN

  • Describe solutions for scaling computing
    Describe the design principles of hadoop
    Map out the functional view of hadoop
    Describe the architecture of hdfs
  • Describe the architecture of yarn
    Describe the attributes and processes of mapreduce
    Describe the architecture of spark

IN THIS COURSE

  • 4m 50s
    After completing this video, you will be able to describe solutions for scaling computing capacity. FREE ACCESS
  • 2m 53s
    After completing this video, you will be able to describe the design principles of Hadoop. FREE ACCESS
  • Locked
    3.  Functional View of Hadoop
    3m 23s
    In this video, learn how to map out the functional view of Hadoop. FREE ACCESS
  • Locked
    4.  HDFS in Action
    4m 40s
    After completing this video, you will be able to describe the architecture of the HDFS. FREE ACCESS
  • Locked
    5.  Yarn in Action
    5m 37s
    Upon completion of this video, you will be able to describe the architecture of Yarn. FREE ACCESS
  • Locked
    6.  MapReduce in Action
    3m 17s
    Upon completion of this video, you will be able to describe the attributes and processes of MapReduce. FREE ACCESS
  • Locked
    7.  Spark in Action
    2m 35s
    Upon completion of this video, you will be able to describe the architecture of Spark. FREE ACCESS

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