Hadoop and Spark Developer Training in Chennai

Apache spark is an open source free data processing framework like large volume of data processing engine Hadoop. Apache spark deals in recollection computations for increase data process and speed; it support languages like Java and Python. So professionals who strong in Java or Python will learn Apache spark framework training helps to growing your career in IT field.

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What is this course about?

This course gives complete understanding about Spark platform which is advanced processing engine,Scala programming language and Big Data Hadoop platform.We designed customized curriculum so that people,they do not programming background can easily learn concepts and apply them in real time industries.

What are the course objectives?

At end of this Apache Spark training by Htop you will be able to,

  • Understanding functional and Object Oriented programming paradigms
  • Becoming expert in Scala programming language
  • Introduction to Big Data Hadoop platform
  • Good understanding on Spark advanced processing platform
  • Learn Spark EcoSystem components Spark Streaming, GraphX Spark SQL

Who should do this course?

People wanted to learn advanced processing concepts and grab job opportunities in Big data world easily.

  • Fresh Graduates
  • College Students
  • IT Professionals
  • Big Data Hadoop Professionals

Job Opportunity for Apache Spark?

As we know data is growing very rapidly.Processing this high volume of data is very challanging to every industry. Spark processes this huge amount of data Very quickly. It is 100 times faster than Hadoop processing engine. There are tons of job opportunities in India and abroad on spark platform. Industry is in shortage of Spark professionals.

Course Duration Information

This training is happening for 30 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

Introduction to Spark and Hadoop platform

  • What is Hadoop platform
  • Why Hadoop platform
  • What is Spark
  • Why spark
  • Evolution of Spark

Introduction to Scala

  • Functional Programing Vs Object Orient Programing
  • Scalable language
  • Scala Overview

SPARK Environment

  • Configuring Apache Spark

SCALA Environment

  • JAVA Setup
  • SCALA Editor
  • Interpreter
  • compiler

Deep Dive into Scala

  • Benefits of Scala
  • Language Offerings
  • Type inferencing
  • Variables
  • Functions
  • LOOPS
  • Control Structures
  • Vals
  • Arrays
  • Lists
  • Tuples
  • Sets
  • Maps
  • Traits and Mixins
  • Classes and Objects
  • First class functions
  • Clousers
  • Inheritance
  • Sub classes
  • Case Classes
  • Modules
  • Pattern Matching
  • Exception Handling
  • FILE Operations

Deep Dive into Spark

  • Spark Shell
  • Parallel Programming
  • context
  • RDD
  • Transformations
  • Programming with RDD
  • Actions
  • Broadcast Variables
  • Accumulators

Spark EcoSystem

  • Spark Streaming
  • MLlib
  • GraphX
  • Spark SQL

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