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 by: Up Degree
New Skills Everyday!

What Will I 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

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

Target audience

• ****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