Big Data Hadoop Training Course

As all MNC’c are taking revolutionary steps in analytic field because of Scalable architecture, Focus training services initiate Best institute for Big Data Hadoop Training Course in Pune, with Industry experts and Practical knowledge..

Batch – 7th July 10.30am to 12.30pm to join write @ enquiry@focustraining.in

Big Data Hadoop Training Course in Pune

What is Big Data Hadoop Training Course?

Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a 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. Its distributed file system facilitates rapid data transfer rates among nodes and allows the system to continue operating uninterrupted in case of a node failure. This approach lowers the risk of catastrophic system failure, even if a significant number of nodes become inoperative.

Why Big Data Hadoop Training Course ?

Because Hadoop is open source and can run on commodity hardware, the initial cost savings are dramatic and continue to grow as your organizational data grows. Additionally, Hadoop has a robust Apache community behind it that continues to contribute to its advancement.

Course Eligibility

There are no pre-defined or strict pre-requisites to learn Hadoop, but comprehensive Hadoop training can help you get a Big data Hadoop job if you have the willingness to build a career in Big Data Domain.
A basic knowledge of any programming language like Java, C++ or Python and Linux is always an added advantage.

Course Topics in Big Data Hadoop Training Course

Introduction

Introduction to Hadoop
What is Bigdata Hadoop?
Why Bigdata?
Limitations
Hadoop Approach
HDFS
Hadoop eco-System

MapReduce

Map reduce
Map reduce Framework
Map Reduce Programming
Basic Map reduce Program example
PIG

What is PIG?

PIG overview
SQL Vs PIG
PIG Latin
Installing PIG

HBase

Introduction
HBase Data Model
HBase Architecture
Hbase Installation

Zookeeper

ZooKeeper Overview
Architecture
Entities,Data Model,Services
Zookeeper Installation

Oozie

Introduction
Oozie workflow
Introduction to Mahout
Introduction to Flume & Chukwa

Setting Hadoop Environment

Creating VM Environment
Setting up VM Environment
Installing Hadoop
Single Node and Multi Node configuration

MapReduce Advanced

Map reduce Advanced Programming
Combiners & Practitioners
Error Handling and unit Testing

Developing with PIG

Loading & Storing ,Filter, Transform
Grouping, Sorting, Combining, splitting
Grouping Sorting,Combining,splitting
UDF

Developing with HBase

Hbase Client
HBase configuration
Loading Hbase
Hbase Data Access

Sqoop

Introduction to Sqoop
Importing Data
Exporting Data
Installing Sqoop

Yarn

Introduction
Yarn Architecture

Upcoming Batches Schedule

11th Mar 2019	Regular	7.30 am To 9.30 am
16th Mar 2019	Weekend	10.30 am To 02.30 pm
18th Mar 2019	Regular	7.30 am To 9.30 am
23rd Mar 2019	Weekend	10.30 am To 02.30pm