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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Preface
Big Data Analytics aims at providing the fundamentals of Apache Spark and Hadoop, and how they are integrated together with most commonly used tools and techniques in an easy way. All Spark components (Spark Core, Spark SQL, DataFrames, Datasets, Conventional Streaming, Structured Streaming, MLLib, GraphX, and Hadoop core components), HDFS, MapReduce, and Yarn are explored in great depth with implementation examples on Spark + Hadoop clusters.
The Big Data Analytics industry is moving away from MapReduce to Spark. So, the advantages of Spark over MapReduce are explained in great depth to reap the benefits of in-memory speeds. The DataFrames API, the Data Sources API, and the new Dataset API are explained for building Big Data analytical ...
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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.