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Keep shoppingHadoop 3 Big Data Processing Hands On [Intermediate Level]
89 students
Hadoop 3 Big Data Processing Hands On [Intermediate Level]
Learn Hadoop 3, Hadoop 3 Features,Hadoop 3.0 Setup,Hadoop 3x Cluster,Setup Virtual Machine,Linux,Hadoop Schedule
Created byUp Degree
Last updated 10/2019
English
What you'll learn
- A Short Crispy Introduction to Big Data & Hadoop
- Why we need Apache Hadoop 3.0?
- Features of Hadoop 3.0
- Setting up Virtual Machine
- Linux Fundamentals
- Linux Users and File Permissions
- Packages Installation for Hadoop 3x
- Networking and SSH connection
- Multi-node Hadoop 3.0 Installation/Configuration
- EC Architecture Extensions
- Setting up Hadoop 3x Cluster
- Cloning Machines and Changing IP
- Formatting Cluster and Start Services
- Start and Stop Cluster
- Hadoop Administrative / Cluster Test
- 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
- Typical Hadoop Production Environment
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Course content
6 sections • 43 lectures • 6h 33m total length
Requirements
- Students MUST know How the Linux Operation System (Any Distribution Like : Ubuntu, MacOS, CentOS,RedHat etc.) works
- Basic Of Shell Scripting (Like : listing,sudo,mkdir)is Required
- Fundamental Knowledge of Hadoop 1, Hadoop 2 is Required
- Basic Understanding of MapReduce Processing is Required
- Understanding of SQL Database is Required
Description
*** 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
Typical Hadoop Production Environment
Who this course is for:
- ****THIS IS AN INTERMEDIATE LEVEL COURSE **** NOT FOR BEGINNERS ****
- IT/BIG Data Professional
- Hadoop Administrator
- Hadoop Developer
- Big Data / Hadoop Architect
- Testing Professional (Because in Hadoop a Lot of Testing Professionals are needed to Test the Projects)
- Support Engineer
- DevOps Professional
- DBA Professional (Because Somewhere in Hadoop Ecosystem We have Database Involved)
- Data Warehousing Professional
- Project Manager or Team Lead (Because If they Handel Team and They Know Hadoop then They Get 2 Cross Sectors Benefit. They can easily talk about the progress of the team with the business leader)
- Data Analyst & Data Scientist
- Freshers with Little Exposure in Big Data