Hadoop Training

Best Hadoop Training in Chennai


Troy Infotech’s Hadoop training in Chennai will empower you to learn the concepts of the Hadoop structure and its deployment in a cluster environment. Troy Infotech Chennai offers the best Hadoop training in Chennai. With experienced Hadoop trainers our training institute is helping the students to learn Hadoop by making it a lightweight to the corporate standards so that the students become well prepared for the goal.

 

Troy Infotech, the best Hadoop Training institute in Chennai that helps the students to learn Hadoop with the help of real-time projects. It is one of the most credible Big Data Hadoop Training Institute offering hands on practical knowledge & full time job assistance with both basic and advanced training courses in the top most MNC companies.

 

At Troy Infotech, we help students to understand the fundamental and advanced concepts of Hadoop & help them to achieve a successful career. We have successfully trained thousands of students in Chennai for Hadoop. Troy Infotech offers Hadoop course in various different modes of training like Hadoop Online Training, Classroom Training, Hadoop Corporate Training, Fast Track Training and one-to-one training. Our experienced professionals have designed our Hadoop Training syllabus to match with the real world requirements & leading Industry standards.

 

With world-class infrastructure and latest facilities, we are the best institute providing the Hadoop Training course in Chennai. We prepare thousands of students for the Hadoop Classes in Chennai with less fees that is designed as per the student needs. We are the top-ranked training institute in providing the best Hadoop training in Chennai with placement assistance for students. Our professionals will help student to develop the ability of current industry norms and standards to get the success for getting their dream job.

 

Course Description


Big data is a term which is applied to technologies that facilitates handling substantially large datasets. These datasets are so large that they can’t be processed by using conventional or traditional data processing tools. To work on these gigantic sets of data, there are dedicated platforms like hadoop which have especially been designed for handling all kinds of massive data. As a matter of fact, handling big data becomes considerably easier with the hadoop framework now a days. In fact, hadoop has basically changed the way big data, especially the unstructured lot, is handled. Hadoop helps to streamline excess data for any distributed processing system over computer clusters with the use of programming models that are out-and-out simplistic in nature.

 

The Big Data Hadoop Training Course at Troy Infotech are proposed to give you all around learning of the Big Data framework by using Hadoop and Spark, including YARN, HDFS, MapReduce, Pig, Hive, and Impala to practice and examine tremendous datasets which is stored in the HDFS, and use Sqoop and Flume for data ingestion.

 

We are offering a comprehensive Hadoop Big Data training course which is designed by industry experts considering current industry job requirements that help you learn Big Data Hadoop and Spark modules. This is an industry recognized Big Data training course with combination of the training courses in Hadoop developer, Hadoop administrator, Hadoop testing, and analytics with Apache Spark.

 

Course Objective


The following are the learning objectives of this Course:

Understanding the various parts of Hadoop
Learning Hadoop Distributed File System (HDFS) and YARN building
Understanding MapReduce and its qualities with retaining advanced MapReduce thoughts
Doing functional programming in Spark, and execute and create Spark applications
Getting a thorough understanding of parallel get ready in Spark and Spark RDD upgrade systems
Making database and tables in Hive and Impala, fathom HBase, and use Hive and Impala for separating
Understanding particular sorts of record positions, Hive, and Sqoop and Schema improvement
Understanding the typical use occasions of Spark and distinctive natural estimations
Learning Spark SQL, making, changing, and addressing data diagrams

Hadoop Training In Chennai Course Syllabus:


Hadoop Installation & setup

  • Hadoop Cluster Architecture
  • Federation and High Availability
  • A Typical Production Cluster setup
  • Hadoop Cluster Modes
  • Common Hadoop Shell Commands
  • Hadoop Configuration Files

Building Blocks of Hadoop including HDFS, MapReduce, and YARN

  • Course Overview
  • Introducing Hadoop
  • Installing Hadoop
  • Storing Data with HDFS
  • Processing Data with MapReduce
  • Scheduling and Managing Tasks with YARN

Introduction to Big Data Hadoop

  • Introducing big data & hadoop
  • What is big data & where does hadoop fits into
  • Two important hadoop ecosystem components including map reduce and hdfs
  • In-depth hadoop distributed file system
  • In-depth yarn – resource manager, node manager

Apache Hive

  • Course Overview
  • Hive vs. RDBMS
  • Getting Started with Basic Queries in Hive
  • Creating Databases and Tables
  • Using Complex Data Types including Table Generating Functions
  • Understanding Constraints in Subqueries and Views
  • Designing Schema for Hive

Advance Hive & Impala

  • The indexing in Hive
  • The Map side Join in Hive
  • The Hive User-defined Functions
  • Introduction to Impala, comparing Hive with Impala,
  • The detailed architecture of Impala
  • Writing indexes
  • Joining table
  • Deploying external table
  • Sequence table with storing data in another table

Flume and Sqoop

  • Course Overview
  • Why do we need Flume and Sqoop?
  • Installing Flume
  • Flume Agent and Flume Events
  • Installing Sqoop
  • Sqoop imports

Oozie Orchestration Framework

  • A Brief Overview Of Oozie
  • Oozie Install And Set Up
  • Workflows: A Directed Acyclic Graph Of Tasks
  • Coordinators: Managing Workflows
  • Bundles concepts like A Collection Of Coordinators For Data Pipelines

Apache Pig

  • Course Overview
  • Introducing Pig
  • Using the GRUNT Shell
  • Loading Data into Relations
  • Working with Basic Data Transformations
  • Working with Advanced Data Transformations

Basics of streaming

  • Apache Kafka architecture and key concepts
  • Apache Storm and key concepts
  • Stream Processing with Spark Streaming

 

Take A Look At Our Hadoop Training Course


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Acceptable industry certification for basic and advanced Java training that helps newer and more experienced professionals improve their entrepreneurial skills.

Core java & Advance Java Certifications

Acceptable industry certification for basic and advanced Java training that helps newer and more experienced professionals improve their entrepreneurial skills.

Core java & Advance Java Certifications

Acceptable industry certification for basic and advanced Java training that helps newer and more experienced professionals improve their entrepreneurial skills.

Core java & Advance Java Certifications

Acceptable industry certification for basic and advanced Java training that helps newer and more experienced professionals improve their entrepreneurial skills.

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Frequently Asked Questions


Who can attend this Hadoop course?

The following can attend this Hadoop course:

  • Data warehouse Professionals
  • Software Professionals
  • Analytics Professionals
  • Mainframe Professionals
  • Bi professionals
  • College Freshers with Programming background

Why this Hadoop Course ?

  • BigData Hadoop is maintaining a constant demand in the industry.
  • A person who is an expert in Hadoop will get good salary package.
  • Usage of Big Data applications are increasing year-by- year across industry verticals ensuring a constant demand for Hadoop developers.

What will you learn?

You will learn & become expert in the following concepts:

  • Mastering the Hadoop Distributed File System.
  • Working with Hive Query Language and learning more about the Hive Architecture.
  • Learning Map Reduce and its Architecture with understanding its Programming model.
  • Deploying Spark, Storm and also writing Scala, Java including Python applications
  • Hadoop testing by using MR Unit with other automation tools.

What are the Career Opportunities available in Hadoop?

The following are the job opportunities you will get:

  • Java Lead Developer – Hadoop
  • Senior Hadoop Administrator
  • Hadoop Developer
  • Big Data Developer – Hadoop
  • Hadoop Administrator
  • Hadoop Testers

What Are The Pre-Requisites For Learning the Hadoop Course?

  • Knowledge in OOPS Concepts like Polymorphism, Inheritance, encapsulation etc is an added advantage.
  • Java Basics like Interfaces, Classes, and Abstract Classes etc is an added advantage.
  • File I/O & Linux Basic Commands knowledge is important.
  • Mysql concepts knowledge is also important for joining this course.

TROY Course Duration For Hadoop Training In Chennai

  • Fast Track Training Program (6+ hours daily)
  • Regular Classes (Morning, Day time & Evening)
  • Weekend Training Classes (Saturday, Sunday & Holidays)

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