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Hadoop at Successshore Institute





₹ 15,000   ( ₹ 18,000  | 15% Off)
2nd Floor, M.T.K Reddy Complex, ,
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About The Course:-

This is course will provide you knowledge and skill to become a Hadoop developer.  concept such as HDFS, MapReduce, sqoop, flume, hive, hbase, pig, etc.,. will be covered indepth.

 

Who This Course Is For?

Professionals who are aspiring to make a career in big data analytics using Hadoop framework.

Data warehousing professionals, Business analyst, java developer.

Pre-Requisites:-

Basic knowledge of any programming language.

Experience on working in Linux environment is a plus.

Course Objectives:-

After completion of the course you should be able to :

  • Understand Hadoop Architecture.
  • Understand the concept of Hadoop distributed file system
  • Programming
  • Program in Yarn
  • Perform data analytics using Hive and Pig.
  • Implement Hbase.
  • Schedule jobs in Oozie.
  • Design and develop application using Hadoop ecosystem on large data set

Module 1: Introduction

Topics covered on introduction
  • What is big data?
  • Understanding distributed systems and Hadoop.
  • What is Hadoop?

Module 2: HDFS Architecture

Topics covered on HDFS
  • What is HDFS
  • HDFS Daemons.
  • Working with files in HDFS.
  • Name Node Federation.
  • HDFS APACHE Web UI.

Module 3: MapReduce

Topics covered on MapReduce
  • What is MapReduce?
  • MapReduce Architecture. (various components, )
  • MapReduce Daemons.
  • Input and Output Format.

Module 4: MapReduce Deep Dive

Topics covered on MapReduce Deep Dive
  • Basic template MapReduce programs.
  • Hadoop API.
  • streaming in Hadoop.
  • Improving performance with Combiners.
  • Chaining MapReduce Jobs.
  • Joining Data from different Sources.
  • Creating Bloom Filter.
  • Deploying MapReduce Program.
  • Monitoring and debugging.
  • Tuning for performance.
  • what is YARN?
  • Difference between Hadoop 1.0 and Hadoop 2.0.

Module 5: PIG

Topics covered on PIG
  • Introduction
  • Installation and Configuration.
  • Different Modes to access PIG.
  • Pig latin.
  • User defined Functions.
  • Data Processing Operators.

Module 6: HIVE

Topics covered on HIVE
  • Introduction
  • Installation and Configuration
  • Comparison with Traditional DataBase
  • HiveQL
  • Tables
  • Querying Data
  • User-defined Functions

Module 7: HBase

Topics covered on HBase
  • Introduction
  • Installation and Configuration.
  • HBase Architecture.
  • Keys and Column Families.
  • Hbase Versus RDBMS
  • Integration with MapReduce.

Module 8: SQOOP

Topics covered on SQOOP
  • Introduction
  • Installation and Configuration.
  • Import/Export data from MYSQL to HDFS.
  • Import/Export data from MYSQL to HBase.
  • Import/Export data from MYSQL to Hive.

Module 9: Hadoop Ecosystem and Components

Topics covered on Hadoop Ecosystem and Components
  • What is FLUME.
  • Flume Model.
  • Apache Oozie.
  • Introduction to Mahout
  • Introduction to Spark
  • Introduction to Storm.
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SuccessShore hadoop bangalore training
Price: ₹ 15,000
Start-End Dates: 22 Oct 16 - 21 Nov 16
Course Duration: 30 days
Discount: 25%
Instructional Level: Appropriate for All
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