Rating 2.65 out of 5 (116 ratings in Udemy)
What you'll learn- Get clear understanding of the limitations of MapReduce and role of Spark in overcoming these limitations
- Understand fundamentals of Scala Programming Language and it’s features
- Expertise in using RDD for creating applications in Spark
- Mastering SQL queries using SparkSQL
- Gain thorough understanding of Spark Streaming features
DescriptionThis course covers all the fundamentals you need to write complex Spark applications. …
Rating 2.65 out of 5 (116 ratings in Udemy)
What you'll learn- Get clear understanding of the limitations of MapReduce and role of Spark in overcoming these limitations
- Understand fundamentals of Scala Programming Language and it’s features
- Expertise in using RDD for creating applications in Spark
- Mastering SQL queries using SparkSQL
- Gain thorough understanding of Spark Streaming features
DescriptionThis 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
30-day Money-back Guarantee! You will get 30-day money-back guarantee from Udemy for this course.
If not satisfied simply ask for a refund within 30 days. You will get a full refund. No questions whatsoever asked.
