September 2016
Beginner to intermediate
344 pages
7h 44m
English
Content preview from Spark for Data ScienceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Data visualization techniques
Data visualization is at the center of every stage in the data analytics life cycle. It is especially important for exploratory analysis and for communicating results. In either case, the goal is to transform data into a format that's efficient for human consumption. The approach of delegating the transformation to client-side libraries does not scale to large datasets. The transformation has to happen on the server side, sending only the relevant data to the client for rendering. Most of the common transformations are available in Apache Spark out of the box. Let's have a closer look at these transformations.
Summarizing and visualizing
Summarizing and visualizing is a technique used by many Business Intelligence ...
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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.