Apache Spark is an open-source distributed general purpose cluster-computing framework. It is an unified analytics engine for the big data processing, with built-in modules for streaming, SQL, machine learning and graph processing. It is a data processing framework which quickly performs processing tasks on very large data sets, and it can also distribute data processing tasks across multiple computers, either on its own or in tandem with other distributed computing tools.


Apache Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. Apache Spark has its architectural foundation in the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, which is maintained in a fault-tolerant way.


Apache Spark Online Training Course Content


Apache Spark

  • Introduction to Apache Spark
  • Why Spark
  • Batch Vs. Real Time Big Data Analytics
  • Batch Analytics – Hadoop Ecosystem Overview
  • Real Time Analytics Options
  • Streaming Data – Storm
  • In Memory Data – Spark, What is Spark?
  • Spark benefits to Professionals
  • Limitations of MR in Hadoop
  • Components of Spark
  • Spark Execution Architecture
  • Benefits of Apache Spark
  • Hadoop vs Spark

Introduction to Scala

  • Features of Scala
  • Basic Data Types of Scala
  • Val vs Var
  • Type Inference
  • REPL
  • Objects & Classes in Scala
  • Functions as Objects in Scala
  • Anonymous Functions in Scala
  • Higher Order Functions
  • Lists in Scala
  • Maps
  • Pattern Matching
  • Traits in Scala
  • Collections in Scala

Spark Core Architecture

  • Spark & Distributed Systems
  • Spark for Scalable Systems
  • Spark Execution Context
  • What is RDD
  • RDD Deep Dive
  • RDD Dependencies
  • RDD Lineage
  • Spark Application In Depth
  • Spark Deployment
  • Parallelism in Spark
  • Caching in Spark

Spark Internals

  • Spark Transformations
  • Spark Actions
  • Spark Cluster
  • Spark SQL Introduction
  • Spark Data Frames
  • Spark SQL with CSV
  • Spark SQL with JSON
  • Spark SQL with Database

Spark Streaming

  • Features of Spark Streaming
  • Micro Batch
  • Dstreams
  • Transformations on Dstreams
  • Spark Streaming Use Case 1
  • Spark Streaming Use Case 2
  • Spark Streaming Use Case 3

Spark GraphX Programming

  • Introduction to Graph Parallel Systems
  • Introduction to GraphX
  • Features of GraphX
  • GraphX Deep Dive
  • Graph Builder

Introducing Mllib

  • Using Mllib for Movie Recommendations
  • Analyzing Recommendation Results using Spark


We are providing Apache Spark Online Training in Ameerpet Hyderabad. We are one of best Institute to provide Best High Quality Apache Spark online training all over India. The IT Professionals and Students from India and abroad who are unable to attend regular classes can attend our Apache Spark online training from their home in their convenient timings. For more details on Apache Spark Online Training please call to 9290971883, / 9247461324, or drop a mail to revanthonlinetraining@gmail.com

Apache Spark online training institute address : B1, 3rd Floor, Eureka Court, Near Image Hospital, Ameerpet, Hyderabad, India


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