*** THIS COURSE IS NOT FOR BEGINNERS ***
If you are a Big Data Enthusistic then you must know about Hadoop. In this course, we will discuss every corner of Hadoop 3.0
What is Hadoop?
Hadoop is an Opensource Component which is a part of the Apache foundation, it is a Java–Based framework for data storage and processing of Large Datasets in a distributed environment using commodity hardware.
In this course you will learn :
Introduction to Big Data
Introduction to Hadoop
Introduction to Apache Hadoop 1x – Part 1
Why we need Apache Hadoop 3.0?
The motivation of Hadoop 3.0
Features of Hadoop 3.0
Other Improvements on Hadoop 3.0
Pre–requistics of Lab
Setting up a Virtual Machine
Linux fundamentals – Part 1
Linux Users and File Permissions
Packages Installation for Hadoop 3x
Networking and SSH connection
Setup the environment for Hadoop 3x
Inside Hadoop 3x directory structure
EC Architecture Extensions
Setting up Hadoop 3x Cluster
Cloning Machines and Changing IP
Formatting Cluster and Start Services
Start and Stop Cluster
HDFS Commands
Erasure Coding Commands
Running a YARN application
Cloning a machine for Commissioning
Commissioning a node
Decommissioning a node
Installing Hive on Hadoop
Working with Hive
Types of Hadoop Schedulers
Instructor Details
Courses : 6
Specification: Hadoop 3 Big Data Processing Hands On [Intermediate Level]
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2 reviews for Hadoop 3 Big Data Processing Hands On [Intermediate Level]
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Price | $14.99 |
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Provider | |
Duration | 6.5 hours |
Year | 2019 |
Level | Beginner |
Language | English |
Certificate | Yes |
Quizzes | No |
$19.99 $14.99
Shaikh Azroddin Gulamoddin –
Great learning experience with Abhishek, it was little bit faster but he cleared concept in well manner.
Thierry Stamper –
Er wordt netjes uitgelegd hoe vanuit Hadoop 1.x naar Hadoop 3.x is toegewerkt en waarom Hadoop 3.x bestaat. Daarna volgt een duidelijke tutorial voor een multi node cluster met behulp van Oracle Virtualbox VM’s obv Ubuntu Desktop. Wat ik mis is een uitleg/tutorial over hoe een GUI toegevoegd kan worden om te werken met de diverse Hadoop tooling (HDFS, Hive), bijvoorbeeld Ambari of Hue.