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Hadoop Administration at Vepsun Institute





 
#100 & 104, SR Aracade, Thualsi Theater Road, ,
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Lesson objectives

Hands-on instruction and practice installing and configuring Hadoop & Big Data

Evaluation measures

Assessment by trainer of student progress as outlined in session plan. Evaluation in LMS.

Equipment Required

Physical Machine

Material & resources

Training Plan

Pre-course / pre-requisites

  • Basic Knowlwdge of Java.
  • Basic Knowlwdge of UNIX.
  • Knowdge of Windows.

Lesson objectives

Hands-on instruction and practice installing and configuring Hadoop & Big Data

Module 1: BigData Overview

Topics covered on overview
  • What BigData is
  • How it is benificial for our business
  • How difficult it is to process
  • What are the tech available for BigData
  • How Hadoop will help us to solve BigDat problems

Module 2: The Case for Apache Hadoop

Topics covered on Hadoop introduction
  • Why Hadoop is needed
  • How Hadoop originated
  • What problems Hadoop solves
  • How Hadoop compares to other large-scale systems

Module 3: HDFS

Topics covered on HDFS
  • What features HDFS provides
  • How HDFS reads and writes files
  • Which of Hadoop’s daemons are involved with HDFS
  • What functions and responsibilities these daemons have

Module 4: MapReduce

Topics covered on MapReduce
  • What MapReduce is
  • How MapReduce works
  • Which Hadoop daemons are used in MapReduce
  • How MapReduce handles failureping
  • How to run a MapReduce job

Module 5: Hadoop Ecosystem Overview

Topics covered on Hadoop Ecosystem
  • What the Hadoop Ecosystem is
  • What are some popular Hadoop Ecosystem tools
  • Which problems these can help you to so

Module 6: Planning Your Hadoop Cluster

Topics covered on Hadoop Cluster
  • What issues to consider when planning your Hadoop cluster
  • What types of hardware are typically used for Hadoop nodes
  • How to optimally configure your network topology
  • How to select the right operating system and Hadoop distribution

Module 7: Hadoop Installation

Topics covered on Hadoop Installation
  • What issues to consider when planning your Hadoop cluster
  • What types of hardware are typically used for Hadoop nodes
  • How to optimally configure your network topology
  • How to select the right operating system and Hadoop distribution

Module 8: Advanced Configuration

Topics covered on Advanced Configuration
  • What issues to consider when planning your Hadoop cluster
  • What types of hardware are typically used for Hadoop nodes
  • How to optimally configure your network topology
  • How to select the right operating system and Hadoop distribution

Module 9: Hadoop Security

Topics covered on Hadoop Security
  • What issues to consider when planning your Hadoop cluster
  • What types of hardware are typically used for Hadoop nodes
  • How to optimally configure your network topology
  • How to select the right operating system and Hadoop distribution

Module 10: Managing and Scheduling Jobs

Topics covered on Managing and Scheduling Jobs
  • What issues to consider when planning your Hadoop cluster
  • What types of hardware are typically used for Hadoop nodes
  • How to optimally configure your network topology
  • How to select the right operating system and Hadoop distribution

Module 11: Cluster Maintenance

Topics covered on Cluster Maintenance
  • What issues to consider when planning your Hadoop cluster
  • What types of hardware are typically used for Hadoop nodes
  • How to optimally configure your network topology
  • How to select the right operating system and Hadoop distribution

Module 12: Cluster Monitoring and Troubleshooting

Topics covered on Cluster Monitoring and Troubleshooting
  • What issues to consider when planning your Hadoop cluster
  • What types of hardware are typically used for Hadoop nodes
  • How to optimally configure your network topology
  • How to select the right operating system and Hadoop distribution

Module 13: Populating HDFS from External Sources

Topics covered on Populating HDFS from External Sources
  • What Flume is
  • How Flume works
  • What Sqoop is
  • How to use Sqoop to import data from RDBMSs to HDFS
  • Best practices for importing data

Module 14: Installing and Managing Other Hadoop Projects

Topics covered on Installing and Managing Other Hadoop Projects
  • What features Hive, HBase, and Pig provide
  • What administrative requirements they impose

Module 15: Hive/Pig Overview

Topics covered on Hive/Pig Overview
  • Using Hive/Pig to Query Large Datasets
  • Sample Hive/Pig Query
  • What Hive/Pig Provides
  • Getting Data Into Hive/Pig
  • Installing Hive/Pig
  • Creating a Shared Metastore
  • Sample hive-site.xml/pig-site.xml
  • DEPLOY UTILITY
    • Running the Deploy Utility
    • Input Options
  • ROLLBACK UTILITY
    • Running the Deploy Utility
    • Input Options
  • ENABLE THE FIM ENCRYPTION CODEC
  • ADD PROPERTIES TO THE .HIVERC
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hadoop Administration vepsun bangalore course
Start-End Dates: 15 Oct 16 - 14 Nov 16
Course Duration: 30 days
Instructional Level: Appropriate for All
Certification
Quizzes
Live Projects
Doubt Clearing Sessions
Reading Material
EMI Option
Online Support
Post completion course access
Practice Exams
Placement assistance
Refund Policy
Post completion support

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