HADOOP

TechgenLabs is one of the leading IT online Training and Placements Organization in USA. Hadoop Online Training classes by TechgenLabs with highly qualified and excellent experienced trainers. Our trainers are experts and they have more experience in the rea ltime environment in Hadoop online training. We provide interactive and effective training for our student. So that you can interact with the faculty to clarify your doubts. Our team of well experienced Hadoop online trainers with vast real time IT experience in Hadoop Online Training is dedicated towards providing quality training in Hadoop Online Training. We provide all real time interview questions to the students. We will provide recorded videos and material for future reference. Hadoop Online Training is your one stop & Best solution to learn at your home with flexible timings. We placed our students in USA, UK, Singapore, Malaysia, Canada, South Africa, and Scotland. We  provide Hadoop interview support and project support.

Hadoop Online Training Course Content

Introduction

  • What is Hadoop?
  • History of Hadoop
  • Hadoop Basic Concepts
  • Building Blocks – Hadoop Eco-System
  • Who is behind Hadoop?
  • What Hadoop is good for and why it is Good

HDFS(Hadoop Distributed File System)

  • Configuring HDFS
  • Interacting With HDFS
  • HDFS Permissions and Security
  • Additional HDFS Tasks
  • HDFS Overview and Architecture
  • HDFS Installation
  • Hadoop File System Shell
  • File System Java API

Introduction to Distributed systems

  • High Availability
  • Scaling
  • Advantages

Introduction to Big Data

  • Big Data opportunities
  • Big Data Challenges

Hadoop Eco Systems

  • 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

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

Distributing Debug Scripts Using Yahoo Web Services

  • Pig
  • Pig Overview
  • Installation
  • Pig Latin
  • Pig with HDFS
  • Hive
  • Hive Overview
  • Installation
  • Hive QL
  • Hive Unstructured Data Analyzation
  • Hive Semi structured Data Analyzation
  • HBase
  • HBase Overview and Architecture
  • HBase Installation
  • HBase Shell
  • CRUD operations
  • Scanning and Batching
  • Filters
  • HBase Key Design
  • Zookeeper
  • Zoo Keeper Overview
  • Installation
  • Server Mantainace
  • Sqoop
  • Sqoop Overview
  • Installation
  • Imports and Exports

Configuration

  • Basic Setup
  • Important Directories
  • Selecting Machines
  • Cluster Configurations
  • Small Clusters: 2-10 Nodes
  • Medium Clusters: 10-40 Nodes
  • Large Clusters: Multiple Racks
  • Integrations

Getting Started With Eclipse IDE

  • Configuring Hadoop API on Eclipse IDE
  • Connecting Eclipse IDE to HDFS

Putting it all together

  • Distributed installations
  • Best Practices