Apache Spark With Examples for Big Data Analytics

In-depth course to master Spark SQL & Spark Streaming using Scala for Big Data (with lots real-world examples)

This course covers all the fundamentals you need to write complex Spark applications. By the end of this course you will get in-depth knowledge on Spark core,Spark SQL,Spark Streaming.

This course is divided into 9 modules

Dive Into Scala - Understand the basics of Scala that are required for programming Spark applications.Learn about the basic constructs of Scala such as variable types, control structures, collections,and more.
OOPS and Functional Programming in Scala - Learn about object oriented programming and functional programming techniques in Scala
Introduction to Apache Spark - Learn Spark Architecture,Spark Components and spark use-cases
Spark Basics - Learn how to configure/run spark in eclipse/intellij
Working with RDDs in Spark - Learn what is Resilient Distributed Dataset,Different types of actions and transformations which can be applied on RDDs
Aggregating Data with Pair RDDs - Learn how Pair RDD is different from RDD,Different types of actions and transformations which can be applied on Pair RDDs
Advanced Spark Concepts - Learn how Spark uses Broadcast variables and Accumulators to perform calculations,how persistence and partitioning helps to achieve performance
Spark SQL and Data Frames - Understand the difference between Dataframe and Dataset
Spark Streaming - Learn how to analyse massive amount of dataset on the fly
All the concepts are explained using hands-on examples.This course covers 10+ hands-on big data examples such as

Explore player data from 2014 world cup
Agregate data from ebay online auction data
Understand different data points from Adhaar data
Develop application to analyse funds received by Indian startup
Explore the price trend by looking at the real estate data in California
Help retailer to find out valid and invalid purchase transactions of chain of stores in Bangalore
Write Spark program find out count of stores in each US region from USA states & Store locations data
Develop Spark Streaming application to perform Twitter Sentiment Analysis