Session : 1 – Introduction to Spark and Hadoop platform

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

Session : 2 – Introduction to Scala

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

Session 3 : -SPARK Environment

  • Configuring Apache Spark

Session : 4 – SCALA Enivronment

  • JAVA Setup
  • SCALA Editor
  • Interprepter
  • compiler

Session : 5 – 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

Session : 6 – Deep Dive into Spark

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

Session : 7 – Spark EcoSystem

  • Spark Streaming
  • MLlib
  • GraphX
  • Spark SQL

Session : 8 – Submiting Spark jobs on Hadoop cluster

Session : 9 – Projects and Use Cases

Thanks for the best ever Training. I did my Android Course here. Trainer is very good in knowledge. They provides the best ever Support to me.

Kaviya