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Apache Spark and Scala
Rating: 3.6 out of 5(147 ratings)
673 students

Apache Spark and Scala

A complete Guide for Processing Big Data with Spark
Created byInsculpt Technologies
Last updated 4/2017
English

What you'll learn

  • Understand the limitations of Hadoop mapreduce and how Spark overcomes these limitations
  • Gain expertise in Scala programming language and its characteristics
  • Able to work with RDDs' and create applications in Spark
  • A thorough understanding about Spark SQL by using SQL queries in Spark

Course content

12 sections • 67 lectures • 7h 39m total length

  • 1.1 Overview of Big Data3:27
  • 1.2 Introduction to Apache Hadoop2:29
  • 1.3 Hadoop Distributed File System5:00
  • 1.4 Hadoop Map Reduce3:33
  • 1.5 Introduction to Apache Spark5:12
  • 1.6 Characteristics of Apache Spark2:44
  • 1.7 Users and Use Cases of Apache Spark7:45
  • 1.8 Job Execution Flow and Spark Execution1:12
  • 1.9 Spark Unified Stack1:08
  • 1.10 Complete Picture of Apache Spark6:37
  • 1.11 Why Spark with Scala2:12
  • 1.12 Apache spark Architecture2:16

Requirements

  • Prior knowledge of Apache Hadoop will be an added advantage, but not compulsory
  • Fundamental understanding of any programming language

Description

This course on Apache Spark and Scala aims at providing an advanced expertise in big data Hadoop ecosystem. This course will provide a standard skillset which helps one become a specialist on the top of Big data Hadoop developer. 

The course starts with a detailed description on limitations of mapreduce and how Spark can help overcome them. Further it covers a deeper dive into the Scala programming language.

Moving on it covers Spark as a standalone cluster and an understanding of Resiliient Distributed Datasets.

The course also covers concepts of Spark SQL using SQL queries through SQL context and Hive Queries through Hive context.

This course certainly provides material required for building a career path from Big data Hadoop developer to BIg data Hadoop architect.


Who this course is for:

  • Students who aspire to gain a deep understanding of Apache Spark
  • Professionals looking for a career in real time big data analytics
  • Big Data and Hadoop Developers who want to analyze data faster

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