Apache Spark & Scala online Training Institute

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Apache Spark & Scala Introduction

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Apache Spark & Scala Online training Highlights

  • Scenario Oriented Training
  • Materials and Certification Guidance
  • Access For Hands-On
  • Live-Support During Sessions Hours

About Our Apache Spark & Scala Trainers

  • More than 6 Years of experience in Apache Spark & Scala Technologies
  • Has worked on multiple realtime Apache Spark & Scala projects
  • Working in a top MNC company
  • Trained 2000+ Students so far.
  • Strong Theoretical & Practical Knowledge
  • Industry certified Professionals

Apache Spark & Scala Certification Info

  • Introduction To Scala

    Why Scala?, What is Scala?, Introducing Scala, Installing Scala, Journey – Java to Scala, First Dive – Interactive Scala, Writing Scala Scripts – Compiling Scala, Programs, Scala Basics, Scala Basic Types, Defining Functions, IDE for Scala, Scala Community

    Scala Essentials

    Immutability in Scala – Semicolons, Scala Method Declarations, Literals,Lists,Tuples,Options and Maps, Reserved Words, Operators, Scala Precedence Rules, If statements, Scala For, Comprehensions, While Loops, Do-While Loops, Conditional Operators in Scala, Pattern Matching, Enumerations

    Traits And OOP’s In Scala 

    Traits Intro – Traits as Mixins, Stackable Traits, Creating Traits Basic OOPS – Class, and Object Basics, Scala Constructors, Nested Scala Classes, Visibility Rules

    Functional Programming In Scala And Use Traits As Mixins

    What is Functional Programming?, Functional Literals and Closures, Recursion, Tail Calls, Scala Functional Data Structures, Implicit Function Parameters in Scala,Call by Name and Call by Value

    Introduction To Big Data and Spark

    Introduction to Big Data, Challenges with Big Data, 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?, Modes of Spark, Spark Installation Demo, Overview of Spark on a cluster, Spark Standalone Cluster

    Spark Baby Steps

    Invoking Spark Shell, Creating the SparkContext, Loading a File in Shell, Performing, Some Basic Operations on Files in Spark Shell, Building a Spark, Project with sbt, Running Spark Project with sbt, Caching Overview, Distributed Persistence, Spark Streaming Overview, Example: Streaming Word Count

    Playing With RDDs In Spark

    RDDs, Spark Transformations in RDD, Actions in RDD, Loading Data in RDD, Saving Data through RDD, Spark Key-Value Pair RDD, Map Reduce and Pair, RDD Operations in Spark, Scala and Hadoop Integration Hands on

    Shark – When Spark Meets Hive

    Why Shark?, Installing Shark, Running Shark, Loading of Data, Hive Queries through, Spark, Testing Tips in Scala, Performance Tuning Tips in Spark, Shared Variables: Broadcast Variables, Shared Variables: Accumulators

  • Some experience coding in Python, Java, or Scala, plus some familiarity with Big Data issues/concepts.


  • It is a 12 days program and extends up to 2hrs each.
  • The format is 20% theory, 80% Hands-on.
  • Instructor-Led Regular Online (Limited Persons Per Group) Training.
  • Instructor-Led Online On Demand Training ( 1-1 or Corporate Training ).


  • It is a 3 days program and extends up to 8hrs each.
  • The format is 20% theory, 80% Hands-on.


  • Private Classroom arranged on request and minimum attendees for batch is 4.


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