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Master Big Data and Hadoop Step-By-Step from Scratch

Course Summary

Learn Big Data and Hadoop, Step by step from scratch in a simplified way.


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    Course Syllabus

    • Introduction to Big Data and Hadoop
      • What is Big Data?
      • Classification of Big Data.
      • Characteristics of Big Data.
      • Challenges Associated with Big Data.
      • Traditional Approach of Storing and Processing Big Data.
      • What is Hadoop?
      • Features of Hadoop.
      • How Hadoop Works?
      • What is Hadoop EcoSystem?
    • Exploring HDFS
      • What is HDFS?
      • HDFS Daemons: NameNode and DataNode Explained.
      • HDFS Daemons: Secondary NameNode Explained.
      • How HDFS Manages FileSystem MetaData?
      • Reading Data from HDFS.
      • Writing Data to HDFS.
      • What is Rack Awareness?
      • NameNode Federation Explained.
    • Exploring MapReduce
      • What is MapReduce?
      • MapReduce Daemons JobTracker and TaskTracker Explained.
      • What is YARN?
    • Understanding MapReduce Programming Framework
      • How MapReduce Works?
      • What is Key / Value Pair?
      • Hadoop Java API’s Explained.
    • Installing Hadoop
      • Understanding Hadoop Operating Modes.
      • Creating a Virtual Machine in VMWare.
      • Downloading Linux.
      • Installing Linux.
      • Configuring Linux.
      • Downloading and Installing Hadoop.
      • Configuring Hadoop and Starting Up the Hadoop Cluster.
    • Maintaining a Hadoop Cluster
      • Finding Data for Practice
      • Starting and Stopping Hadoop Daemons.
      • Adding a Node to the Cluster.
      • Removing a Node from the Cluster.
      • Checking the Hadoop Distributed File System.
      • Exploring Commands in Hadoop.
      • Adding a TaskTracker.
      • Removing a TaskTracker.
      • Importing Data into HDFS.
      • Exporting Data out of HDFS.
      • Copying Data Using DistCP.
      • Balancing a DataNode.
      • Turning On & Turning Off SafeMode.
    • Programming with MapReduce
      • Setting Up Development Environment.
      • More to Follow.


Course Fee:
USD 199

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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