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Courses / BigData / Hadoop
Hadoop
780

Hadoop is the biggest thing in data storage now. Hadoop consists of a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Most of the enterprises are using or started to use hadoop internally. Since the technology is new , there is a big talent gap. course on hadoop explains the concept in most simple ways. Labs on hadoop enable you to get familiarize to the usage of hadoop on real projects organizations are working on.


Course Features

  • Instructor led live class - 15 hrs
  • Hands on - 10 hrs
  • Project work - 20 hrs
  • Printed Study Material or e-book
  • Access to screen cast (24*7 access) - 10 hrs duration

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Modules

Modules
Duration
Cost(USD)
Duration:1 hr
USD 0

Topics

This module introduce you to the world of  Big data
  • Introduction to big data
  • What are modern computing problems.
  • How Hadoop resolve these problems.

Duration:2 hr
USD 50

Topics

This module help you to set up hadoop and configure it
  • Introduction to Hadoop
  • HDFS, Yarn and map reduce
  • Architecture of Hadoop
  • How mapreduce works

Duration:2 hr
USD 50

Topics

This module shows you how to program in hadoop. There are so many open source tools available with hadoop namely hbase, hive, pig, oozie, zookeeper. Though the purpose and development console are different for these tools, basic concept remains same. This module walk you through the open source tools for hadoop.


Duration:2 hr
USD 50

Topics

Module enable you to start using one of the hadoop tool/project called Pig
  • Pig used scripting language called Pig Latin - a high level scrpting
  • Using java libraries in Pig
  • Writing UDFs in pig


Duration:2 hr
USD 50

Topics

HDFS is a file system and database operations are not possible on HDFS. HBase gives database capabilities to hadoop.
  • Learn HBase


Duration:2 hr
USD 50

Topics

  • Learn hadoop project HIVE

Duration:2 hr
USD 50

Topics

This module helps you to familiarize with other important projects in Hadoop.
  • Introduction to Oozie.
  • Introduction to Flume.
  • Introduction to Sqoop.
  • Introduction  to Zookeeper.

Duration:2 hr
USD 50

Topics

This module cover advanced topic , which helps you in real life projects
  • Best practices for Hadoop development
  • Debugging
  • Implementation of workflows
  • Common algorithms



Who should take this course?

Hadoop is a nice technology and practitioners are migrating to hadoop. Hadoop has tools for people from application development background as well as database background. Course is intended for professionals who are interested in moving to a world of big data.


Pre-requisites

Course does not have specific prerequisites. It covers modules for professionals from database background as well as application programming background. Course is tailored to make student aware of the concept of big data and to slowly start coding in hadoop.

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