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

IT Skills In Demand

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49 Videos (3h 43m)
    • What is Big Data

      5:33
    • Classification of Big Data.

      1:33
    • Characteristics of Big Data.

      0:53
    • Challenges Associated with Big Data.

      0:56
    • Traditional Approach of Storing and Processing Big Data.

      2:13
    • What is Hadoop?

      2:49
    • Features of Hadoop.

      6:14
    • How Hadoop Works?

      3:28
    • What is Hadoop EcoSystem?

      2:35
    • What is HDFS

      3:01
    • HDFS Daemons: NameNode and DataNode Explained.

      3:18
    • HDFS Daemons: Secondary NameNode Explained.

      2:22
    • How HDFS Manages FileSystem MetaData?

      2:22
    • Reading Data from HDFS.

      2:58
    • Writing Data to HDFS.

      3:18
    • What is Rack Awareness?

      2:18
    • NameNode Federation Explained.

      1:43
    • What is MapReduce?

      0:59
    • MapReduce Daemons JobTracker and TaskTracker Explained.

      4:01
    • What is YARN?

      2:05
    • How MapReduce Works?

      1:19
    • What is Key / Value Pair?

      1:28
    • Hadoop Java API’s Explained.

      5:14
    • Understanding Hadoop Operating Modes.

      2:09
    • Creating a Virtual Machine in VMWare.

      3:38
    • Downloading Linux.

      1:55
    • Installing Linux.

      17:03
    • Configuring Linux.

      7:13
    • Downloading and Installing Hadoop.

      4:40
    • Configuring Hadoop and Starting Up the Hadoop Cluster.

      10:03
    • Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 1

      6:53
    • Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 2

      3:51
    • Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 3

      9:10
    • Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 4

      12:38
    • Setting Up and Connecting to an Amazon EC2 Instance

      10:48
    • Finding Data for Practice.

      5:37
    • Starting and Stopping Hadoop Daemons.

      8:44
    • Adding a Node to the Cluster.

      12:59
    • Removing a Node from the Cluster.

      2:51
    • Checking the Hadoop Distributed File System.

      3:00
    • Exploring Commands in Hadoop.

      5:00
    • Adding a TaskTracker.

      12:59
    • Removing a TaskTracker.

      2:51
    • Importing Data into HDFS.

      1:57
    • Exporting Data out of HDFS.

      2:13
    • Copying Data Using DistCP.

      2:57
    • Balancing a DataNode.

      3:44
    • Turning On & Turning Off SafeMode.

      2:38
    • Setting Up Development Environment.

      2:56

About This Class

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Do you find Big Data and Hadoop confusing? Aspire to become a Big Data or Hadoop professional? But not sure which course to enroll? Then this course is for you !


Course Overview:

  • Most demanding and sought after skill of the decade.
  • Secure your career by learning Big Data and Hadoop.
  • Course taught using a very innovative and simplified method of teaching.
  • Course covers all the topics related to Hadoop Adminsitration as well as Hadoop Development.


Course Description:
In this course, you would be learning all the concepts and terminologies related to Big Data and Hadoop, such as the NameNode, Secondary NameNode, DataNode, JobTracker and TaskTracker, along with other concepts related to it such as what is meant by Rack Awareness and NameNode Federation in a simplified way.

It also explains how the data is managed by the Hadoop Distributed File System (HDFS) and explains the process of reading and writing data onto the Hadoop Distributed File System.

Later in the course you would also learn how to add or remove a DataNode or a TaskTracker to an existing cluster, how to check the HDFS for errors, Balancing the DataNode and so on.

You would also learn all the concepts related to programming in MapReduce along with writing programs using MapReduce.

Upon completion of this course, you would have a clear idea about, all the concepts related to the Hadoop, that should be sufficient to help you start off with Administering the Hadoop Cluster as well as Developing MapReduce Applications for Hadoop Cluster.

All the Best and Happy Learning !

6 of 6 students recommendSee All

Thanks a lot for sharing useful information about BigData and Hadoop.
Nuthan Murarysetty

Always Learning and sharing my knowledge to others

Its a bit dry and the instructor has a thick accent, but a good overview and step by step introduction into understanding and managing Hadoop.
Hi the course was very useful. Especially every Small clips are crisp and well explained with example. But it will be more helpful if download option is provided for android too. :( . audio is litte cripple sound like robots voice.

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IT Skills In Demand has been training IT professionals on skills which are in great demand and have a long term career.

Packed by a team of highly skilled and experienced IT professionals with real time experience, IT Skills in Demand is ready to fulfill the hunger of tech savvy person by creating and delivering courses in a very effective and simplified method of learning.