Introduction

About this course

Dive right in with 20+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop!

Brief Description

New! Updated for Spark 2.0.0.

“Big data" analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data: Apache Spark. Employers including Amazon, EBay, NASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You'll learn those same techniques, using your own Windows system right at home. It's easier than you might think, and you'll be learning from an ex-engineer and senior manager from Amazon and IMDb.

Spark works best when using the Scala programming language, and this course includes a crash-course in Scala to get you up to speed quickly. For those more familiar with Python however, a Python version of this class is also available: "Taming Big Data with Apache Spark and Python - Hands On".

Learn and master the art of framing data analysis problems as Spark problems through over 20 hands-on examples, and then scale them up to run on cloud computing services in this course.

  • Learn the concepts of Spark's Resilient Distributed Datastores

  • Get a crash course in the Scala programming language

  • Develop and run Spark jobs quickly using Scala

  • Translate complex analysis problems into iterative or multi-stage Spark scripts

  • Scale up to larger data sets using Amazon's Elastic MapReduce service

  • Understand how Hadoop YARN distributes Spark across computing clusters

  • Practice using other Spark technologies, like Spark SQL, DataFrames, DataSets, Spark Streaming, and GraphX

By the end of this course, you'll be running code that analyzes gigabytes worth of information – in the cloud – in a matter of minutes.

Getting Started

This repository represents my notes on getting started with this course, with detailed instructions and walkthrough on Gitbook in starting the various exercises.

To get started, this is the Udemy course. You will need to buy the Udemy course to get access to the full content and exercises.

Features

  • Frame big data analysis problems as Apache Spark scripts

  • Develop distributed code using the Scala programming language

  • Optimize Spark jobs through partitioning, caching, and other techniques

  • Build, deploy, and run Spark scripts on Hadoop clusters

  • Process continual streams of data with Spark Streaming

  • Transform structured data using SparkSQL and DataFrames

  • Traverse and analyze graph structures using GraphX

Issues and Problems

  • Mainly version issues, but I have included my solution in the respective section walkthrough.

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