Saturday, 6 February 2016

Big Data Training in chennai


Big Data Training in chennai


A massive amount of data is continuously being generated in any process, be it weather analysis, engineering systems, marketing trends or even user behaviour. The massive amount of data generated is at a high speed and requires a detailed analysis and curation to reveal patterns and trends, in order to effect real value or optimization to a process. The massive amount of structured or unstructured data that is so generated is called Big Data.

Greens Technologys we help you gain a good hand with Enterprise class Biztalk server and show why it is a highly effective platform that helps to make sense of data. Using Microsoft Boztalk, one can easily integrate different applications and diverse datasets to deliver coherent real-world solutions like business reporting, intelligence gathering, payroll processing etc and these are indicated n real time by us.

    Introduction to Distributed systems


  • High Availability
  • Scaling
  • Advantages

    • Introduction to Big Data


  • Big Data opportunities
  • Big Data Challenges

    • Introduction to Hadoop


  • Hadoop Distributed File System
  • Hadoop Architecture
  • Map Reduce & HDFS

    • Hadoop Eco Systems


  • o Introduction to Pig
  • Introduction to Hive
  • Introduction to HBase
  • Other eco system Map

    • Hadoop Administration


  • Hadoop Installation & Configuration
  • Setting up Standalone system
  • Setting up pseudo distributed cluster
  • Setting up distributed cluster

    • The Hadoop Distributed File System (HDFS)


  • HDFS Design & Concepts
  • Blocks, Name nodes and Data nodes
  • Hadoop DFS The Command-Line Interface
  • Basic File System Operations
  • Reading Data from a Hadoop URL
  • Reading Data Using the File System API

    • Map Reduce


  • Map and Reduce Basics.
  • How Map Reduce Works
  • Anatomy of a Map Reduce Job Run
  • Job Submission, Job Initialization, Task Assignment, Task Execution
  • Progress and Status Updates
  • Job Completion, Failures
  • Shuffling and Sorting.
  • Combiner
  • Hadoop Streaming

    • Map/Reduce Programming – Java


  • Hands on “Word Count” in Map/Reduce in Eclipse
  • Sorting files using Hadoop Configuration API discussion
  • Emulating “grep” for searching inside a file in Hadoop
  • Chain Mapping API discussion
  • Job Dependency API discussion and Hands on
  • Input Format API discussion and hands on
  • Input Split API discussion and hands on
  • Custom Data type creation in Hadoop
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