February 2019
Beginner to intermediate
544 pages
14h 36m
English
Content preview from Mastering Hadoop 3
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Spark
Hadoop has been used as a processing framework for large datasets for the past decade and it has brought tremendous value and cost saving to organizations. MapReduce has evolved over a time but it is not efficient for a few use cases like near real-time computation, multi-pass computation, which is iterative processing, and so on. Every time the data is processed, it has to be written into the disk and then you have to pick data from disk for further processing. Along with this, if we need to add additional use cases which require libraries such as Mahout and Apache Storm, then it has to be integrated separately in the Hadoop cluster. Spark is a distributed data processing framework that provides functional APIs for manipulating data ...
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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.