Big Data HADOOP Training

Big Data Hadoop training course

Our aim is to deliver a whole training environment for you to become a top class Analyser.

HTechSoft provides best training of Big Data

Big Data is nothing but a concept which facilitates handling large amount of data sets. Hadoop is just a single framework out of dozens of tools. Hadoop is primarily used for batch processing. The difference between big data and the open source software Hadoop is a distinct and fundamental one.

Big Data Hadoop Training Content

Introduction to Hadoop

  • > High Availability
  • > Scaling
  • > Advantages and Challenges

Introduction to Big Data

  • > What is Big data
  • > Big Data opportunities
  • > Big Data Challenges
  • > Characteristics of Big data

Introduction to Hadoop

  • > Hadoop Distributed File System
  • > Comparing Hadoop & SQL.
  • > Industries using Hadoop.
  • > Data Locality.
  • > Hadoop Architecture.
  • > Map Reduce & HDFS.
  • > Using the Hadoop single node image (Clone)

The Hadoop Distributed File System (HDFS)

  • > HDFS Design & Concepts
  • > Blocks, Name nodes and Data nodes
  • > HDFS High-Availability and HDFS Federation.
  • > Hadoop DFS The Command-Line Interface
  • > Basic File System Operations
  • > Anatomy of File Read
  • > Anatomy of File Write
  • > Block Placement Policy and Modes
  • > More detailed explanation about Configuration files.
  • > Metadata, FS image, Edit log, Secondary Name Node and Safe Mode.
  • > How to add New Data Node dynamically.
  • > How to decommission a Data Node dynamically (Without stopping cluster).
  • > FSCK Utility. (Block report).
  • > How to override default configuration at system level and Programming level.
  • > HDFS Federation.
  • > ZOOKEEPER Leader Election Algorithm.
  • > Exercise and small use case on HDFS.
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