Hadoop Training in Chennai

Hadoop Training In Chennai

Best Hadoop Training in Chennai

This is a data-centric world. However, lot of problems takes place in data. In order to tackle this there should be some streamlined and automated process. Big data and Hadoop are the two great technologies that can evaluate, curate and control the data. There are no complicated programming modules and huge clusters of data can be used as simpler versions. Hadoop Training in Chennai at SLA Jobs is offered to boost the knowledge of the candidate and provide the technical skills needed to become a competent developer in Hadoop technology. The trainers at SLA Jobs have the proficiency to provide comprehensive Big Data and Hadoop Certification Training in Chennai

What is the importance of learning Big Data and Hadoop from the Best Hadoop Training Institute in Chennai?

Hadoop is a significant component for organizations dealing with innumerable details. Big Data and Hadoop are promising software that let data management in intelligent ways.

With the increasing market competition more and more companies are embracing big data and Hadoop technologies to find new market opportunities. Most of the top companies consider big data analytics as a major part of business performance. Eventually, big data and Hadoop professionals are will have a good say on the organization’s policies.

The popularity of Hadoop shows that it is a total success. Even Though there is a big demand for individuals with Hadoop skills, there are in fact less people with the appropriate skill since Hadoop is a comparatively new technology. The skill gap can be mitigated through Hadoop Training in Chennai at SLA Jobs.

Several professionals from Mainframe, Java, Data Warehouse and testing streams wish to migrate their career to Hadoop. But this is not confined to professionals only in this background. Individuals wish to leave their comfort level and take up new and better avenues including Hadoop, Hadoop is gaining immense popularity due its success in its execution.

The Apache Software Foundation released Hadoop 2.0 that brings about various new features comprising YARN.

One of the important and heartening things about Big Data and Hadoop is that they bring a range of opportunities to take your career to a great level. Since more and more companies use big data, they are looking out for experts who will interpret and apply data. This forms better career opportunities for big data and Hadoop professionals. Now is the time to enroll in the top Hadoop Training Center in Chennai.

Hadoop Training Course Fee and Duration

The Hadoop Training Course Fees in Chennai from SLA Jobs is reasonable. Suppose you have issues with time, premises and duration, you can contact our educational counselors who would be glad to help you.

Training Mode

Regular Track

45 – 60 Days

2 hours a day

Live Classroom

Weekend Track

8 Weekends

3 hours a day

Live Classroom

Fast Track

5 Days

6+ hours a day

Live Classroom

This is an approximate course fee and duration for Hadoop Training. Please contact our team for current Hadoop Training course fee and duration.

Prerequisites to Hadoop Course in Chennai.?

If you have to learn Hadoop in the Top Hadoop Training Center in Chennai as SLA Jobs then you should have good knowledge in Core Java concepts. This is mandatory to comprehend the essentials of Hadoop. If you are not knowledgeable in Java we will provide you with the essentials of Java. This is because foundation of Java is very much needed for better learning of Hadoop technology. Besides, fundamental knowledge of Unix commands and knowledge in SQL is needed.

Who can attend Hadoop Training in Chennai.?

  • BI /ETL/DW Professionals
  • Mainframe Professionals
  • Software Developers
  • System Administrators
  • Graduates with programming background
  • Analytics Professionals
  • Project Managers of IT Firms
  • SQL Experts
  • Software Testing Professionals
  • Those who are interested in big data services
  • Programming Developers
  • Existing Hadoop Developers who are operating in Hadoop
  • DBA Consultants
  • Java Consultants

Scope of Hadoop Professionals

With the increase in the size of data the demand for Hadoop technology will also increase. There will be requirement of more Hadoop developers to tackle the big data challenges. IT professionals possessing Hadoop skills will gain with raise in salaries and will also have an enhanced career progress, Here is a list of the various profiles of Hadoop developers with their job responsibilities:

Hadoop Developer –  A Hadoop developer must be able in Java Programming Language, some Database Interactive languages, and scripting languages.

Hadoop Architect – These people will control the total development and deployment process of Hadoop Application. They plan and frame Big Data system architecture and act as the lead of the project.

Hadoop Tester – This professional takes care of the testing of any Hadoop application which involves fixing bugs and testing whether the application is competent or require some enhancements

Hadoop Administrator – This person installs and monitors Hadoop clusters. It comprises usage of cluster monitoring tools including Nagios to add and eliminate codes

Data Scientist – The role of Data Scientist is to involve big data tools and various advanced statistical procedures so as to solve business related issues, This is the most responsible profile and the future advancement of the company depends on data scientists.

Job Profiles You Will Get into With Big Data Hadoop Skills

  • Hadoop / Big Data Developer
  • Data Engineer
  • Big Data Consultant
  • Big Data/ Hadoop Architect
  • Hadoop Tester
  • Machine Learning Engineer
  • Software Development Engineer
  • Hadoop Administrator
  • Big data Engineer
  • Data Scientist
Hadoop Training Course Syllabus

Our Hadoop course syllabus encompasses the update and most appropriate topics which are needed by several companies. Our trainers are aware of what topics and syllabus are to be covered and teach with a sense of commitment.

Hadoop Developer Training Outline

Introduction to Hadoop

  • Hadoop Distributed File System
  • Hadoop Architecture
  • MapReduce & HDFS

Hadoop Eco Systems

  • Introduction to Pig
  • Introduction to Hive
  • Introduction to HBase
  • Other eco system Map

Hadoop Developer

  • Moving the Data into Hadoop
  • Moving The Data out from Hadoop
  • Reading and Writing the files in HDFS using java program
  • The Hadoop Java API for MapReduce
    • Mapper Class
    • Reducer Class
    • Driver Class
  • Writing Basic MapReduce Program In java
  • Understanding the MapReduce Internal Components
  • Hbase MapReduce Program
  • Hive Overview
  • Working with Hive
  • Pig Overview
  • Working with Pig
  • Sqoop Overview
  • Moving the Data from RDBMS to Hadoop
  • Moving the Data from RDBMS to Hbase
  • Moving the Data from RDBMS to Hive
  • Flume Overview
  • Moving The Data from Web server Into Hadoop
  • Real Time Example in Hadoop
  • Apache Log viewer Analysis
  • Market Basket Algorithms
Hadoop Admin Training Course Outline

Big Data Overview

  • Introduction In Hadoop and Hadoop Related Eco System.
  • Choosing Hardware For Hadoop Cluster nodes
  • Apache Hadoop Installation
    • Standalone Mode
    • Pseudo Distributed Mode
    • Fully Distributed Mode
  • Installing Hadoop Eco System and Integrate With Hadoop
    • Zookeeper Installation
    • Hbase Installation
    • Hive Installation
    • Pig Installation
    • Sqoop Installation
    • Installing Mahout
  • Horton Works Installation
  • Cloudera Installation
  • Hadoop Commands usage
  • Import the data in HDFS
  • Sample Hadoop Examples (Word count program and Population problem)
  • Monitoring The Hadoop Cluster
    • Monitoring Hadoop Cluster with Ganglia
    • Monitoring Hadoop Cluster with Nagios
    • Monitoring Hadoop Cluster with JMX
  • Hadoop Configuration management Tool
  • Hadoop Benchmarking
Benefits Of Big Data Hadoop
  • Open source commodity Hardware and cost-effective
  • Huge data is segregated into multiple machines and processed parallel
  • Appropriate for processing all natures of data sets including structured and unstructured
  • With the help of HDFS the speed contributes to massive parallel processing
  • Data is replicated on several machines and read from a single machine and supports fault tolerance

Glimpse of Hadoop

Hadoop is an open source platform written in Java and provides best data management provisions and competently processes huge volume of data. This is done on a cluster of commodity hardware. It can be initiated as a single machine but the power of Hadoop lies in the cluster of machines. It encompasses the swift and steady evaluation of huge volumes of both structured and unstructured data.

Hadoop has some highlights including distribution, fault tolerance, horizontal scalability cost-optimization, data locality and programming abstraction. It is cost-effective software that does not need expensive servers and can initiate on standard hardware.

Hadoop is a storage system that is formed particularly to handle huge sets of data in different shapes and forms, Analytical algorithms are run by Hadoop. The functional outcomes of Hadoop software are most dependable and effective. Thus it is a good data management tool.

What is offered by the Best Hadoop Training Center in Chennai for Hadoop course?

Highly Interactive Classroom Sessions

We deliver highly engaging classroom sessions. Suppose you miss out a class, you can have a backup class.

Focus on Practicals

We believe in providing a blend of practical and theoretical training to the candidates. When there is more practicals the student will have efficient learning. The assignments are intended to provide you with a clear knowledge of the concepts.

In-depth and comprehensive syllabus

The syllabus is prepared by experts in the field. We make sure that it is updated and give it shape every time with the most holistic content.

Career Guidance

When you demonstrate your skills in the right manner you can win the right job;. Our trainers will provide you with mock interviews and a winning career strategy.