September 2016
Beginner to intermediate
326 pages
6h 47m
English
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Why Datasets and DataFrames?
The simple answer is: speed and ease of use. DataFrames provide the benefits of optimization, speed, automatic schema discovery, working with multiple sources, and multiple languages support; they read less data, and provide inter-operability between RDDs. Let's delve into these concepts.
Optimization
Catalyst provides optimization for DataFrames. It provides two optimizations:
- Predicate push down to sources, to read only the data needed
- Creates a physical plan for execution and generates JVM bytecode that is better optimized than handwritten code
The DataFrame is not defining Directed Acyclic Graph (DAG) as in the case of RDDs. Abstract Syntax Trees (AST) are created, which the catalyst engine will parse, check, and improve ...
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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.