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Best DATA SCIENCE Training in Pune | Data Science Training with SPARK and SCALA | Technogeeks
    DATA SCIENCE SYLLABUS
     Module 1
    Introduction to Scala
    Learning Objectives – In this module, you will understand basic concepts of Scala,
    motives towards learning a new language and get your set-up ready.
    Topics
    ·         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
                                         
                                          Module 2
    Scala Essentials
    Learning Objectives – In this module, you will learn essentials of Scala that are
    needed to work on it.
    Topics
    ·         Immutability in Scala – Semicolons
    ·         Method Declaration, Literals
    ·         Lists
    ·         Tuples
    ·         Options
    ·         Maps
    ·         Reserved Words
    ·         Operators
    ·         Precedence Rules
    ·         If statements
    ·         Scala For Comprehensions
    ·         While Loops
    ·         Do-While Loops
    ·         Conditional Operators
    ·         Pattern Matching
    ·         Enumerations
                                          Module 3
    Traits and OOPs in Scala
    Learning Objectives – In this module, you will understand implementation of OOPs
    concepts in Scala and use Traits as Mixins
    Topics
    ·         Traits Intro – Traits as Mixins
    ·         Stackable Traits
    ·         Creating Traits Basic OOPS – Class and Object Basics
    ·         Scala Constructors
    ·         Nested Classes
    ·         Visibility Rules
                                          Module 4
    Functional Programming in Scala
    Learning Objectives – In this module, you will understand functional programming
    know how for Scala.
    Topics
    ·         What is Functional Programming?
    ·         Functional Literals and Closures
    ·         Recursion
    ·         Tail Calls
    ·         Functional Data Structures
    ·         Implicit Function Parameters
    ·         Call by Name
    ·         Call by Value
                                          Module 5 
    Introduction to Big Data and Spark
    Learning Objectives – In this module, you will understand what is Big Data, it’s
    associated challenges, various frameworks available and will get the first hand introduction
    to Spark
    Topics
    ·         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
                                          Module 6
    Spark Baby Steps
    Learning Objectives – In this module, you will learn how to invoke Spark shell and
    use it for various common operations.
    Topics
    ·         Invoking Spark Shell
    ·         Loading a File in Shell
    ·         Performing Some Basic Operations on Files in Spark Shell
    ·         Building a Spark Project with sbt, Building and Running Spark Project with sbt
    ·         Caching Overview, Distributed Persistence
    ·         Spark Streaming Overview
    ·         Example: Streaming Word Count
                                          Module 7
    Playing with RDDs
    Learning Objectives – In this module, you will learn one of the building blocks of
    Spark – RDDs and related manipulations for implementing business logics.
    Topics
    ·         RDDs
    ·         Transformations in RDD
    ·         Actions in RDD
    ·         Loading Data in RDD
    ·         Saving Data through RDD
    ·         Scala and Hadoop Integration Hands on
                                          Module 8
    Shark – When Spark meets Hive ( Spark SQL)
    Learning Objectives – In this module, you will see various offspring’s of Spark like
    Shark, SparkSQL and Mlib. This session is primarily interactive for discussing industrial use
    cases of Spark and latest developments happening in this area.
    Topics
    ·         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
                                          Module 9
    Spark Streaming
    Learning Objectives – In this module, you will learn about the major APIs that Spark
    offers. You will get an opportunity to work on Spark streaming which makes it easy to build
    scalable fault-tolerant streaming applications.
    Topics
    ·         Spark Streaming Architecture
    ·         First Spark Streaming Program
    ·         Transformations in Spark Streaming
    ·         Fault tolerance in Spark Streaming
    ·         Check pointing
    ·         Parallelism level
                                          Module 10 
    Spark Mlib
    Learning Objectives – In this module, you will learn about the machine learning
    concepts in Spark
    Topics
    ·         Classification Algorithm
    ·         Clustering Algorithm
    ·         Sequence Mining Algorithm
    ·         Collbrative filtering
                                          Module 11
    Spark GraphX
    Learning Objectives – In this module, you will learn about Graph Analysis concepts in
    Spark
    Topics
    ·         Graph analysis with Spark
    ·         GraphX for graphs
    ·         Graph-parallel computation
                                          Module 12
    Project and Installation
    Topics
    ·         Installation of Spark and Scala
    ·         Discussion of real time use cases using Spark
    ·         Mini project implementation in Spark
     
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