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Hadoop Fundamentals

Course Summary

A comprehensive introduction to data processing with Hadoop including installation, administration, and programming.


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    Course Syllabus

    • Introduction
      • Introduction to Hadoop Fundamentals LiveLessons
    • Lesson 1: Background Concepts
      • Learning objectives
      • 1.1 Understand the problem Hadoop solves
      • 1.2 Understand the Hadoop approach
      • 1.3 Understand the Hadoop Project
    • Lesson 2: Running Hadoop on a Desktop or Laptop
      • Learning objectives
      • 2.1 Install Hortonworks HDP Sandbox
    • Lesson 3: The Hadoop Distributed File System
      • Learning objectives
      • 3.1 Understand HDFS basics
      • 3.2a Use HDFS tools
      • 3.2b Do HDFS administration
      • 3.3 Use HDFS in programs
    • Lesson 4: Hadoop MapReduce
      • Learning objectives
      • 4.1 Understand the MapReduce paradigm
      • 4.2 Develop and run a Java MapReduce application
      • 4.3 Understand how MapReduce works
    • Lesson 5: Hadoop Examples
      • Learning objectives
      • 5.1 Use the Streaming Interface
      • 5.2 Use the Pipes Interface
      • 5.3 Run the Hadoop grep example
      • 5.4 Debug MapReduce
    • Lesson 6: Higher Level Tools
      • Learning objectives
      • 6.1 Use Pig
      • 6.2 Use Hive
    • Lesson 7: Setting Up Hadoop in the Cloud
      • Learning objectives
      • 7.1 Use Whirr to launch Hadoop in the Cloud
    • Lesson 8: Set Up Hadoop on a Local Cluster
      • Learning objectives
      • 8.1 Specify and prepare servers
      • 8.2 Install and configure Hadoop Core
      • 8.3 Install and configure Pig and Hive
      • 8.4 Install and configure Ganglia
      • 8.5 Perform simple administration and monitoring


Course Fee:
USD 299

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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