September 2016
Beginner to intermediate
326 pages
6h 47m
English
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Summary
Apache Hadoop provides you with a reliable and scalable framework (HDFS) for Big Data storage and a powerful cluster resource management framework (YARN) to run and manage multiple Big Data applications. Apache Spark provides in-memory performance in Big Data processing and libraries and APIs for interactive exploratory analytics, real-time analytics, machine learning, and graph analytics. While MR was the primary processing engine on top of Hadoop, it had multiple drawbacks, such as poor performance and inflexibility in designing applications. Apache Spark is a replacement for MR. All MR-based tools, such as Hive, Pig, Mahout, and Crunch, have already started offering Apache Spark as an additional execution engine apart from MR.
Nowadays, ...
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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.