Hadoop Training in Chennai

Hadoop Training in Chennai

As technology evolves, the need for professionals to keep themselves updated on the technological advancements is crucial. This is what gives them the edge over others in this highly competitive business world. The modern-day companies are encouraging their employees to take up Big Data and Hadoop training to enhance the quality of service they provide to their customers. If you are looking for the best Hadoop training in Chennai, our team of professionals can guide you through. Serving as the top Hadoop training institute in Chennai, we provide live training sessions at flexible timings.

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About Hadoop Training Course

Our team of dedicated professional trainers offer the a comprehensive Hadoop course in Chennai to its trainees. The Hadoop training program in Chennai is handled by professionals who are currently working in MNCs and are well-proficient in all walks of Big Data and Hadoop. If you are looking for a definitive Hadoop Training course, get in touch with us. We will schedule you a demo session that takes you through the different modules of Hadoop and fix training sessions that are flexible to your availability.

Here is a list of benefits that an extensive knowledge over Hadoop will offer you:

  • Hadoop is a highly scalable storage platform, unlike traditional relational database systems. It can store and distribute large sets of data across several inexpensive servers that operate in parallel
  • It offers a cost-effective solution for businesses have a large set of data
  • Hadoop lets businesses easily access new data sources and also explore structured and unstructured data to generate value from it. This is the primary reason why businesses use Hadoop to derive business insights from multiple data sources
  • Being based on a distributed file system that maps data, this offers a fast platform to access data
  • One other main advantage of using Hadoop is that it is resilient to failure. Even in the event of a failure, there is another copy available for use.

Course Objectives?

At end of this Hadoop Training in Chennai by Htop Solutions, you will be able to,
Learn how to write HDFS/MapReduce programs
Learn how to write & utilize effectively Hive & Pig Scripts
Understand basically how the administration part is even handled for a cluster setup
Learn how to write & utilize effectively Flume & Zookeeper mechanisms
Understand better on the internal architecture/design involved in all the Hadoop platforms
Understand how to enhance your coding skills using Hbase & Sqoop tools
To understand better on how a real-time project fit into the big data platform

Who should do this course?

Best Big Data Hadoop Training in OMR is a basic one to start your career in an emerging & one of the demanding technologies in the market. This training will be suitable for

Fresh Graduates
College / School Students
Job Seekers
Who wants to learn more on the practical applications?
Anyone wants to know how the industry is migrating to the new technology
Prerequisite: Knowledge in computers and understanding about software languages.

Job Opportunity for Hadoop?

Hadoop is considered to be one of the latest demanding technology which is being used by millions of people day-by-day. So, learning Hadoop will open a lot more opportunities if you want to make this as a full-time programmer or a developer. Otherwise, there are other ways to earn by doing freelancing

Course Duration Information?

This Hadoop training will be happening for 45 hours. If you opt for weekend classes both Saturday and Sunday you will be having approximately 2 hours 30 mins in scheduled time of the batch you chose. If you opt of weekdays classes all Monday to Friday you need to spend at least 90mins.

Course Syllabus

Hadoop Training in Chennai Syallbus

Apache Hadoop

  • Introduction to Big Data & Hadoop Fundamentals
  • Dimensions of Big data
  • Type of Data generation
  • Apache ecosystem & its projects
  • Hadoop distributors
  • HDFS core concepts
  • Modes of Hadoop employment
  • HDFS Flow architecture
  • HDFS MrV1 vs MrV2 architecture
  • Types of Data compression techniques
  • Rack topology
  • HDFS utility commands
  • Min h/w requirements for a cluster & property files changes

Mapreduce Framework

  • Introduction to Mapreduce
  • Mapreduce Design flow
  • Mapreduce Program (Job) execution
  • Types of Inputformats & Outputformats
  • Mapreduce Datatypes
  • Performance tuning of a Mapreduce jobs
  • Counters techniques

Apache Hive

  • Introduction to Hive & features
  • Hive architecture flow
  • Types of hive tables flow
  • DML/DDL commands explanation
  • Partitioning logic
  • Bucketing logic
  • Hive script execution in shell & HUE

Apache Hbase

  • Introduction to Hbase concepts
  • Introdcution to NoSQL/CAP theorem concepts
  • Hbase design/architecture flow
  • Hbase table commands
  • Hive + Hbase integration module/jars deployment
  • Hbase execution in shell/HUE

Apache Pig

  • Introduction to Pig concepts
  • Pig modes of execution/storage concepts
  • Pig program logics explanation
  • Pig basic commands
  • Pig script execution in shell/HUE

Apache Sqoop

  • Introduction to Sqoop concepts
  • Sqoop internal design/architecture
  • Sqoop Import statements concepts
  • Sqoop Export Statements concepts
  • Quest Data connectors flow
  • Incremental updating concepts
  • Creating a database in MySQL for importing to HDFS
  • Sqoop commands execution in shell/HUE

Apache HUE

  • Introduction to Hue design
  • Hue architecture flow/UI interface

Apache Zookeeper

  • Introduction to zookeeper concepts
  • Zookeeper principles & usage in Hadoop framework
  • Basics of Zookeeper

Apache Flume

  • Introduction to Flume & features
  • Flume topology & core concepts
  • Property file parameters logic

Administration concepts

  • Principles of Hadoop administration & its importance
  • Hadoop admin commands explanation
  • Balancer concepts
  • Rolling upgrade mechanism explanation

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Selenium Training, Working in CTS

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