September 2016
Beginner to intermediate
326 pages
6h 47m
English
Content preview from Big Data AnalyticsBecome 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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Chapter 4. Big Data Analytics with Spark SQL, DataFrames, and Datasets
As per the Spark Summit presentation by Matei Zaharia, creator of Apache Spark (http://www.slideshare.net/databricks/spark-summit-eu-2015-matei-zaharia-keynote), Spark SQL and DataFrames are the most used components of an entire Spark ecosystem. This indicates Spark SQL is one of the key components used for Big Data Analytics by companies.
Users of Spark have three different APIs to interact with distributed collections of data:
- RDD API allows users to work with objects of their choice and express transformations as lambda functions
- DataFrames API provides high-level relational operations and an optimized runtime, at the expense of type-safety
- Dataset API that combines the worlds ...
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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.