Master Big Data and Hadoop Step-By-Step From Scratch
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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 !
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:
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 !
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|Section 1: Introduction to Big Data and Hadoop|
What is Big Data?Preview
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.Preview
How Hadoop Works?
What is Hadoop EcoSystem?
|Section 2: Exploring HDFS|
What is HDFS?
HDFS Daemons: NameNode and DataNode Explained.Preview
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.
|Section 3: Exploring MapReduce|
What is MapReduce?
MapReduce Daemons JobTracker and TaskTracker Explained.
What is YARN?
|Section 4: Understanding MapReduce Programming Framework|
How MapReduce Works?
What is Key / Value Pair?
Hadoop Java API’s Explained.
|Section 5: Installing a Single Node, Pseudo Hadoop Cluster on a Local Machine|
Understanding Hadoop Operating Modes.
Creating a Virtual Machine in VMWare.
Downloading and Installing Hadoop.Preview
Configuring Hadoop and Starting Up the Hadoop Cluster.
|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
Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 2
Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 3
Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 4
|Section 7: Amazon EC2 Basics|
Setting Up and Connecting to an Amazon EC2 Instance.
|Section 8: Maintaining a Hadoop Cluster|
Finding Data for Practice.
Starting and Stopping Hadoop Daemons.
Adding a Node to the Cluster.Preview
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.
Hadoop Commands Reference Guide.
|Section 9: Programming with MapReduce|
Setting Up Development Environment.
More to Follow.Preview
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