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Hadoop Developer Course at Evarcity





₹ 5,000  
#703, 30th Main, 1st Phase, 2nd Stage
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About The Course:-

This course will cover concept such as HDFS, Hadoop Cluster,   Hadoop Architecture etc.,.

Who Should Take this?

Systems administrators, linux administrators, windows administrators, Infrastructure engineers, Big Data Architects, DB Administrators, IT managers and Mainframe Professionals.

Pre-requisites for this training
This course requires no prior knowledge of Java, Hadoop Cluster Administration or Apache Hadoop. Fundamental knowledge of Linux basics is necessary as Hadoop runs on Linux.

Course Objectives:-

After completion of the course you should be able to unserstand :

  • The core technologies of Hadoop
  • How to populate HDFS from external sources
  • How to plan your Hadoop cluster hardware and software
  • How to deploy a Hadoop cluster
  • What issues to consider when installing Pig, Hive, and Impala
  • What issues to consider when deploying Hadoop clients
  • How Cloudera Manager can simplify Hadoop administration
  • How to configure HDFS for high availability
  • What issues to consider when implementing Hadoop security
  • How to schedule jobs on the cluster
  • How to maintain your cluster
  • How to monitor, troubleshoot, and optimize the cluster
  • Management and monitoring tools

Introduction

 

  • Introduction to Big Data
  • What is Big Data ?
  • Big Data Facts
  • The Three V’s of Big Data
  • Understanding Hadoop
  • What is Hadoop ?
  • Why learn Hadoop ?
  • Relational Databases Vs. Hadoop
  • Motivation for Hadoop
  • 6 Key Hadoop Data Types
  • The Hadoop Distributed File system (HDFS)
  • What is HDFS ?
  • HDFS components
  • Understanding Block storage
  • The Name Node
  • The Data Nodes
  • Data Node Failures
  • HDFS Commands
  • HDFS File Permissions
  • The MapReduce Framework
  • Overview of MapReduce
  • Understanding MapReduce
  • The Map Phase
  • The Reduce Phase
  • WordCount in MapReduce
  • Running MapReduce Job
  • Planning Your Hadoop Cluster
  • Single Node Cluster Configuration
  • Multi­Node Cluster Configuration
  • Cluster Maintenance
  • Checking HDFS Status
  • Breaking the cluster
  • Copying Data Between Clusters
  • Adding and Removing Cluster Nodes
  • Rebalancing the cluster
  • Name Node Metadata Backup
  • Cluster Upgrading
  • Installing and Managing Hadoop Ecosystem Projects
  • Sqoop
  • Flume
  • Hive
  • Pig
  • HBase
  • Oozie
  • Yarn
  • Managing and Scheduling Jobs
  • Managing Jobs
  • The FIFO Scheduler
  • The Fair Schedule
  • How to stop and start jobs running on the cluster
  • Cluster Monitoring, Troubleshooting, and Optimizing
  • Page 2 of 3
  • Page 3 of 3
  • General System conditions to Monitor
  • Name Node and Job Tracker Web Uis
  • View and Manage Hadoop’s Log files
  • Ganglia Monitoring Tool
  • Common cluster issues and their resolutions
  • Benchmark your cluster’s performance
  • Populating HDFS from External Sources
  • How to use Sqoop to import data from RDBMSs to HDFS
  • How to gather logs from multiple systems using Flume
  • Features of Hive, Hbase and Pig
  • How to populate HDFS from external Sources
  • Live Project For each Modules
  • How To Work On Hue

 

 

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Price: ₹ 5,000
Start-End Dates: Contact Institute
Instructional Level: Appropriate for All
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