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You're reading from  Big Data Analytics with Java

Product typeBook
Published inJul 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781787288980
Edition1st Edition
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Author (1)
RAJAT MEHTA
RAJAT MEHTA
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RAJAT MEHTA

The author is a VP (Technical Architect) in technology in JP Morgan Chase in New York. The author is a sun certified java developer and has worked on java related technologies for more than 16 years. Current role for the past few years heavily involves the usage of bid data stack and running analytics on it. Author is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent write on dev magazines.
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Summary


In this chapter, we covered what big data is all about and how we can analyze it. We showed the 3 Vs that constitute big data: volume, variety, and velocity. We also covered some ground on the big data stack, including Hadoop, HDFS, and Apache Spark. While learning Spark, we went through some examples of the Spark RDD API and also learned a few useful transformations and actions.

In the next chapter, we will get the first taste of running analytics on big data. For this, we will initially use Spark SQL, a very useful Spark module, to do simple yet powerful analysis of your data and later we will go on to build complex analytic tasks while learning market basket analysis.

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Big Data Analytics with Java
Published in: Jul 2017Publisher: PacktISBN-13: 9781787288980
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Author (1)

author image
RAJAT MEHTA

The author is a VP (Technical Architect) in technology in JP Morgan Chase in New York. The author is a sun certified java developer and has worked on java related technologies for more than 16 years. Current role for the past few years heavily involves the usage of bid data stack and running analytics on it. Author is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent write on dev magazines.
Read more about RAJAT MEHTA