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Bigdata & Hadoop Development

Faculity Name : Karthik

Experience : 10 Years

Course Duration : 45 days

Price : 12000 INR

Course Details

  • About Course
  • About Instructor
  • Course Content
  • Videos

Hadoop framework is the future of huge data storage requirements. It can be used to process all types of data. It is one of the hot technologies budding in the market.

Pre-requisite: Core JAVA, SQL

Training Highlights:

Interview questions

Resume building

Guidance on Hadoop certification

Detailed material

Trading on cloud era

Karthik

Experience : 10 Years

Karthik is having 10 years experience and currently working in an MNC as Hadoop developer. He is having prior experience in core Java, SQL and Hadoop. He is well knowledged on creating scripts, generate reports and worked on Hive, PIG and Spark tools.

He is into training industry for more than 5 years and handled both corporate and personal trainings.

Bigdata & Hadoop Development Course Content

Bigdata & Hadoop Course Content

Module 1 - INTRODUCTION TO BIG DATA

  • What is Big Data?
  • Examples of Big Data
  • Reasons of Big Data Generation
  • Why Big Data deserves your attention
  • Use cases of Big Data
  • Different options of analyzing Big Data

Module 2 - INTRODUCTION TO HADOOP

 

  • What is Hadoop,
  • History of Hadoop
  • How Hadoop name was given
  • Problems with Traditional Large-Scale Systems and Need for Hadoop
  • Where Hadoop is being used
  • Understanding distributed systems and Hadoop
  • RDBMS and Hadoop

MODULE 3- STARTING HADOOP

  • Hadoop Architecture
  • Features of Hadoop
  • Hadoop Components- HDFS, Map Reduce
  • Anatomy of File write / read
  • Introduce other components of Hadoop ecosystem

 

 

MODULE 4- HDFS

  • HDFS Commands.
  • Single node hadoop cluster
  • Understanding hadoop configuration files
  • Overview Of Hadoop Distributed File System
    • Name nodes
    • Data nodes
    • The Command-Line Interface
  • The building blocks of Hadoop.
  • Running HDFS Commands
  • Web-based cluster UI-Name Node UI, Map Reduce UI
  • Hands-On Exercise: Using HDFS commands

MODULE 5- UNDERSTANDING MAP REDUCE

  • How Map Reduce Works
    • Data flow in MapReduce
    • Map operation
    • Reduce operation
  • Input and Output Formats
  • Partitions
  • Combiners
  • Schedulers
  • MapReduce Program In JAVA using Eclipse
  • Counting words with Hadoop—Running program
  • Writing MapReduce Drivers, Mappers and Reducers in Java
  • Real-world "MapReduce" problems
    • Hands-On Exercise: Writing a MapReduce Program and Running a MapReduce Job
  • Java WordCount Code Walkthrough

MODULE 6- HADOOP ECOSYSTEM

  • Hive
  • Sqoop
  • Pig

 

MODULE 7- EXTENDED SUBJECTS ON HIVE

 

  • Installing Hive
  • Introduction to Apache Hive
  • Getting data into Hive
  • Hive’s architecture
  • Hive-HQL
  • Query execution
  • Programming Practices and projects in Hive
  • Troubleshooting
  • Hands-On Exercise: Hive Programming

MODULE 8- EXTENDED SUBJECTS ON SQOOP

 

  • Installing Sqoop
  • Configure Sqoop
  • Import RDBMS data to Hive using Sqoop
  • Export from to Hive to RDBMS using Sqoop
  • Hands-On Exercise: Import data from RDBMS to HDFS and Hive
  • Hands-On Exercise: Export data from HDFS/Hive to RDBM

 

MODULE 9- EXTENDED SUBJECTS ON PIG

  • Introduction to Apache Pig
  • Install Pig
  • Pig architecture
  • Pig Latin - Reading and writing data using Pig
  • Hands-On Exercise: Programming with pig, Load data, execute data processing statements

MODULE 10- ADVANCED TOPICS YARN

  • Hadoop 2.0, namely, YARN, Name Node High Availability, HDFS Federation, support for Windows etc. 

 

 

MODULE 11- REAL TIME PROJECT

  • Clear explanation of real time Project by taking real time data
  • Take the data from different source systems like text files, csv files, RDBMS
  • Loading the data in to Hadoop & do some analytics using Map Reduce, HIVE & PIG

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Course Features

  • Live Instructor Led Course
  • Real Time oriented training
  • Guidance on Resume preparation
  • Mock Interviews
  • Training on latest version
  • Guidance on certification
  • Coverage of extended topics
  • Lower price