- 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?
Online
₹ 3,299
Quick facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
The Big Data and Hadoop for Absolute Beginners online certification have been created by Udemy IT Skills In Demand, an educational platform that teaches difficult skills in a straightforward manner, which is made available by Udemy for participants who want to transform themselves into big data engineers and Hadoop developers to advance in their careers by mastering the concepts and methods involved with big data and Hadoop from the ground up.
Big Data and Hadoop for Absolute Beginners online classes comprise more than 3.5 hours of digital learning resources that cover all the terms and concepts related to big data and Hadoop, including DataNode, NameNode, Secondary NameNode, TaskTracker, and JobTracker. The Big Data and Hadoop for Absolute Beginners online course explain the features of applications like HDFS, YARN, Amazon EC2, VMWare, and development environment as well as will learn about all the terms related to MapReduce programming and how to write programs using MapReduce.
The highlights
- Certificate of completion
- Self-paced course
- 3.5 hours of pre-recorded video content
- Learning resources
Program offerings
- Online course
- Learning resources
- 30-day money-back guarantee
- Unlimited access
- Accessible on mobile devices and tv
Course and certificate fees
Fees information
certificate availability
certificate providing authority
What you will learn
After completing the Big Data and Hadoop for Absolute Beginners certification course, participants will obtain a solid comprehension of the concepts and strategies associated with big data and Hadoop for big data analytics. In this big data course, participants will explore the strategies associated with the Hadoop cluster as well as will develop an in-depth understanding of Linux, MapReduce, HDFS, YARN, and Amazon EC2. in this Hadoop certification, participants will learn about methodologies involved with the development environment, TaskTracker as well as will acquire knowledge of the techniques to create virtual machines using VMWare.
The syllabus
Introduction to Big Data and Hadoop
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 a Single Node, Pseudo Hadoop Cluster on a Local Machine
- 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.
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
Amazon EC2 Basics
- Setting Up and Connecting to an Amazon EC2 Instance.
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.
- Hadoop Commands Reference Guide.
Programming with MapReduce
- Setting Up Development Environment.
- More to Follow.