January 2016
Beginner to intermediate
304 pages
8h 16m
English
book
Big Data Analytics with Spark: A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing
by Mohammed Guller
Content preview from Big Data Analytics with Spark: A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing
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CHAPTER 5
Writing a Spark Application
This chapter discusses how to write a data processing application in Scala using Spark. Chapter 2 covered the basics of Scala, which you need to know to get started.
The mechanics of writing a Spark application in Scala is not very different from writing a standard Scala application. A Spark application is basically a Scala application that uses Spark as a library. The API provided by the Spark library was discussed in Chapter 3. You will use that API to write a simple data processing application. The goal is to show you how to write, compile, and run a Spark application, so the data processing logic will ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.