Apache Spark and Scala Training - Best Training Institute in Hyderabad

Apache Spark & Scala Training Key Features

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About Apache Spark:

Spark is a fast, open-source and general engine for large scale data processing which is maintained by Apache Software Foundation.
It enables the user to do cluster-computing and speeds up the process dramatically. For example, it can run programs up to 100 times faster than Hadoop MapReduce.
It combines the concepts of SQL, Machine learning and Graphs by including libraries called Spark SQL, MLlib for machine learning, GraphX, and Spark Streaming.
Spark can run on Hadoop, Mesos and Kubernetes or it can run standalone or in the cloud and it can access data sources like HDFS, Cassandra, HBase, and Amazon’s S3.

About Scala:

Scala is a general-purpose programming language designed intentionally to overcome the criticisms of Java language.
The name “Scala” is a combination of words “Scalable” and “language” which represent its ability to grow with the demand.
Scala provides language interoperability with Java which means the libraries written in both languages can be used in each other and scala code can run on Java Virtual Machine.
It supports functional and object-oriented programming paradigms and a strong static type system which can support algebraic data types, higher-order and anonymous types.

By Choosing this Apache Spark Scala Training and Certification Course at Learn Giant, you'll get Knowledgeable and Skillful with industry designed course syllabus. Whether Online/ Classroom Training, you get advanced guidance to become an expert.

Spark & Scala Course Content

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