February 2016
Beginner to intermediate
326 pages
7h 46m
English
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Converting RDDs to DataFrames
In this section, we will discuss the strategies exposed by Spark SQL for transforming existing RDDs into DataFrames.
In today's enterprise world, data analysis requires the usage of more than one tool or technology. There could be scenarios where we want the Spark batch to initially load and process the data for a few insights and at the same we also want Spark SQL to process the same data to get the rest of the insights. In these kinds of scenarios, data would be loaded only once, either by a Spark batch or Spark SQL, and then it will be further processed by other Spark extensions. We need to consider that loading the data twice will be a waste of memory and time.
In order to solve this problem, Spark SQL (DataFrames) ...
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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.