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 4
Interactive Data Analysis with Spark Shell
One of the reasons for Spark’s hockey-stick growth is its usability. It not only provides a rich expressive API in multiple languages, but it also makes it easy to get started. It comes with a command-line tool called Spark shell, which allows you to interactively write Spark applications in Scala. The Spark shell is similar to the Scala shell, discussed in Chapter 2. In fact, it is based on the Scala shell.
The Spark shell provides a great environment for not only interactively analyzing data, but also learning Spark. You can install it on your local development machine in less than a minute ...
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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.