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

Learn from Basics to Advanced Concepts related to Big Data and Hadoop in a Simplified Way.
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  • Lectures 51
  • Contents Video: 3.5 hours
    Other: 4 mins
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 9/2014 English

Course Description

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 !

OVER 5000+ SUCCESSFUL STUDENTS HAVE ALREADY TAKEN THIS COURSE. 100% Satisfaction Guaranteed | RISK FREE INVESTMENT - 30 DAYS NO QUESTIONS ASKED MONEY BACK GUARANTEE. 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 !

What are the requirements?

  • A Laptop or a PC with a descent internet connectivity.

What am I going to get from this course?

  • You would learn how to install and build up a Hadoop Cluster from scratch.
  • You would understand all the key concepts associated with Big Data and Hadoop and their purpose.
  • You would become proficient in administering or managing the Hadoop Cluster.
  • You would also learn all the concepts related to programming in MapReduce.
  • You would learn how to write programs using MapReduce.

What is the target audience?

  • Basic knowledge of Unix / Linux required for becoming a Hadoop Admin.
  • Basic programming knowledge required for becoming a Hadoop Developer.
  • Knowledge of Core Java would be desirable for a Hadoop Developer.

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Introduction to Big Data and Hadoop
What is Big Data?
Preview
05:33
Classification of Big Data.
01:33
Characteristics of Big Data.
00:53
Challenges Associated with Big Data.
00:56
Traditional Approach of Storing and Processing Big Data.
02:13
What is Hadoop?
02:49
Features of Hadoop.
Preview
06:14
How Hadoop Works?
03:28
What is Hadoop EcoSystem?
02:35
Section 2: Exploring HDFS
What is HDFS?
03:01
HDFS Daemons: NameNode and DataNode Explained.
Preview
03:18
HDFS Daemons: Secondary NameNode Explained.
02:22
How HDFS Manages FileSystem MetaData?
02:22
Reading Data from HDFS.
02:58
Writing Data to HDFS.
03:18
What is Rack Awareness?
02:18
NameNode Federation Explained.
01:43
Section 3: Exploring MapReduce
What is MapReduce?
00:59
MapReduce Daemons JobTracker and TaskTracker Explained.
04:01
What is YARN?
02:05
Section 4: Understanding MapReduce Programming Framework
How MapReduce Works?
01:19
What is Key / Value Pair?
01:28
Hadoop Java API’s Explained.
05:14
Section 5: Installing a Single Node, Pseudo Hadoop Cluster on a Local Machine
Understanding Hadoop Operating Modes.
02:09
Creating a Virtual Machine in VMWare.
03:38
Downloading Linux.
01:55
Installing Linux.
17:03
Configuring Linux.
07:13
Downloading and Installing Hadoop.
Preview
04:41
Configuring Hadoop and Starting Up the Hadoop Cluster.
10:03
Section 6: Installing a Multi Node, Fully Distributed, Hadoop Cluster on a Local Machine
Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 1
06:53
Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 2
03:51
Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 3
09:10
Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 4
12:39
Section 7: Amazon EC2 Basics
Setting Up and Connecting to an Amazon EC2 Instance.
10:48
Section 8: Maintaining a Hadoop Cluster
Finding Data for Practice.
05:37
Starting and Stopping Hadoop Daemons.
08:44
Adding a Node to the Cluster.
Preview
12:59
Removing a Node from the Cluster.
02:51
Checking the Hadoop Distributed File System.
03:00
Exploring Commands in Hadoop.
05:00
Adding a TaskTracker.
12:59
Removing a TaskTracker.
02:51
Importing Data into HDFS.
01:57
Exporting Data out of HDFS.
02:13
Copying Data Using DistCP.
02:57
Balancing a DataNode.
03:44
Turning On & Turning Off SafeMode.
02:38
Hadoop Commands Reference Guide.
3 pages
Section 9: Programming with MapReduce
Setting Up Development Environment.
02:56
More to Follow.
Preview
1 page

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