HADOOP TRAINING IN CHENNAI

Learn how to use Hadoop from beginner level to advanced techniques which is taught by experienced working professionals. With our Hadoop Training in Chennai you’ll learn concepts in expert level with practical manner.

Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a parallel distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation. Hadoop makes it possible to run applications on systems with thousands of nodes involving thousands of terabytes of data which is not feasible with traditional systems.

Today we live in a DATA world. Anything and everything that we do in the internet is becoming a source of business information for the organizations across the globe. The world has seen an exponential growth of data in the last decade or so and more so since last 3 years. Hence, the industry has started to look out for the ways to handle the data and get some business value out of it through data analytics. One such jail-break is “HADOOP”.

Hadoop is the buzzword in the market right now and there is tremendous amount of job opportunity waiting to be grabbed. In the current state market is short of good Big data professionals. Hence BIG Data means BIG Opportunities with Big bucks. Come grab them with both hands!!!

Big Data Hadoop provides wonderful opportunities for the aspiring IT professional both fresher and experienced. This course is suitable for both Java and non- Java professionals like Data-warehousing professionals, Mainframe professionals etc.

All topics will be covered with in-depth concepts and corresponding practical programs.

Overview of Hadoop

• Big Data
• Hadoop Introduction
• History
• Comparison to Relational Databases
• Hadoop Eco-System and Distributions
• Resources

Overview

• Introduction
• Architecture and Concepts
• Access Options

Installation and Shell

• Pseudo-Distributed Installation
• Namenode Safemode
• Secondary Namenode
• Hadoop Filesystem Shell

Java API

• Java API Introduction
• Configuration
• Reading Data
• Writing Data
• Browsing file system

Java client API

• Create via Put method
• Read via Get method
• Update via Put method
• Delete via Delete method

Java Admin API

• Create Table
• Drop Table

Java Client API Advanced Topics

• Scan API
• Scan Caching
• Scan Batching
• Filters

Key Design

• Storage Model
• Querying Granularity
• Table Design: Tall-Narrow Tables and Flat-Wide Tables

Map Reduce on YARN – Overview and Installation

• MapReduce Introduction
• MapReduce Model
• YARN and MapReduce 2.0 Daemons
• MapReduce on YARN single node installation
• MapReduce and YARN command line tools

Map Reduce – Developing First MapReduce Job

• Introduce MapReduce framework
• Implement first MapReduce Job

Running Jobs

• Tool, ToolRunner and GenericOptionsParser
• Running MapReduce Locally
• Running MapReduce on Cluster
• Packaging MapReduce Jobs
• MapReduce CLASSPATH
• Submitting Jobs
• Logs and Web UI

Input and Output

• MapReduce Theory
• Types of Keys and Values
• Input and Output Formats
• Anatomy of Mappers, Reducers, Combiners, Partitioners

MapReduce Features

• Counters
• Speculative Execution
• Distributed Cache

Job Execution on YARN

• YARN Components
• Details of MapReduce Job Execution

Hadoop Streaming

• Implement a Streaming Job
• Contrast with Java Code
• Create counts in Streaming application

MapReduce Workflows

• Workflows Introduction
• Decomposing Problems into MapReduce Workflow
• Using JobControl class

Course Duration:  2  to  3 Month, 2 hpd

Contact:  +91  9080334727

Mail:  info@velgrotechnologies.com