We offering Hadoop Online Training USA quite a lot of features. Our faculty has Real Time experience in IT industry. We offer Best Hadoop Online Training at your comfortable timings from your home with flexible schedules. Student can select regular fast track and weekend Hadoop Classes. Each trainer regularly assessed to candidates given the best quality of Hadoop in Online Training. Demos are conducted by every day and you can choose flexible timings according to your requirement.

We provide free demo on Hadoop Online Training Classes and course materials an in-depth knowledge of Hadoop which focuses on real time scenarios. Recorded sessions are provided after each class. We arrange regular and weekend Hadoop Training for employees and students. Resume build as per corporate standards according to the job description and we will market your resume for top companies. We provide Hadoop Online Training and project support across the World like USA, UK, South Africa, Malaysia, Singapore, Australia and Japan.

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