BIG Data/Hadoop for Professionals

bigdata hadoop training in noida

The whole world is suffering for a problem of big data, every day we generate almost 2.5 quintillion of data and that data is completely unstructured, out of 10 almost 8 companies doesn’t have an information on which they can trust, most of the organization have to make their business decisions on a parameters on which they can’t trust purely. Big Dataprovides wide range of opportunity to take business inelegance decisions, Big Data Hadoop opens a gate for exploring latest values and opportunity to world’s leading organization to grow up there business values and many startup for developing their potential asses to compete with latest market trends and future market need. With the help to Big Data Hadoop we can provides best solutions in e-commerce, medical, engineering, IT, Railways, Insurance, Banking etc. to help and grow up there needs like never before, by using big volume, large velocity and multiple variety of Big Data we can explore the actual power of DATA which cannot be possible by any other technical process. Big Data Hadoop provides many technical platforms to manage, explore, store, analysis and present data in best value format like never before, get best Big data Hadoop training by KVCH(IBM Business Partner)

Big Data Hadoop provides many technics such as

  • MapReduce
  • HIVE
  • PIG
  • JAQL
  • Scoop
  • Flume

To create best and valuable information for making Excellent Business Intelligence Reports.


  • The Evolution of Data Management
  • Understanding the Waves of Managing Data
  • Defining Big Data, The Big Data Journey
  • Building a Successful Big Data Management Architecture
  • Defining Structured Data, Defining Unstructured Data
  • Looking at Real-Time and Non-Real-Time Requirements
  • Putting Big Data Together
  • A Brief History of Distributed Computing.
  • Understanding the Basics of Distributed Computing.
  • Analytical Data Warehouses.
  • Integrating Big Data with the Traditional Data Warehouse
  • Big Data Analysis and the Data Warehouse
  • Changing the Role of the Data Warehouse
  • Changing Deployment Models in the Big Data Era
  •  Examining the Future of Data Warehouse
  • Big Data Analytics, Big Data Applications
  • Introduction to DB2.
  • DB2 Instance
  • DB2 Database and Tables.
  • DB2 Hands on Lab
  • RDBMS in a Big Data Environment
  • Non Relational Database, Key-Value Pair Databases
  • Document Database [IBMCloudant NOSQL DB.]
  • NameNode.
  • DataNode.
  • Task Tracker .
  • Job Tracker.
  • Secondary NameNode.
  • Data Replication.
  • Tracing the Origins of MapReduce
  • Understanding the map Function
  • Adding the reduce Function
  • Putting map and reduce Together
  • Map Reduce Programming
  • Mapreduce program throug web cosole
  • Introduction of JAQL Approch
  • Understand information stream
  • Understand Information ocean
  • Working with JAQL Language
  • Streaming Data Analytics Throug JAQL
  • Understand Data Ware Housing
  • Requirment of Data Ware house.
  • Understand Hive enviorment
  • working with Hive Query Language
  • Perform DDL&DML approch Through Hive
  • Requirment of Pig
  • Working with pig Script
  • Running and managing Pig Script
  • Perform Streaming Data Analytics throug PIG
  • Pig Advantages and DisAdvantages
  • BIGSQL Advantages
  • BigSql requirment
  • setting up enviorment of BIG SQL
  • Working With BIG SQL Drivers
  • Setting up Connection with BigSql
  • Working with BIGSql and Big Data
  • Perform Various BigSql Queries
  • Understand Flume methedology
  • Requirment of flume
  • flume advantages
  • working lab with flume
  • introduction of Sqoop
  • Requirment of sqoop
  • advantages of sqoop
  • Working Lifecycle of oozie
  • understand oozie data flow
  • oozie setup and requirment
  • understand oozie scheduling
  • What is BIG R.
  • Advantage of BIG R.
  • Future Scope of BIG R.

80 Hours

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