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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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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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Real-time analytics


As is evident from the name, real-time analytics provides analysis and their results in real time. Big data has mostly been used in batch mode where the queries on top of the data run for a long time and the result is later analysed. The approach is changing lately, mainly due to the new requirements pertaining to certain use cases that require immediate results. Real-time requires a separate set of architecture that caters to not only data collection and data parsing, but also data analyzing at the same time.

Let's try to understand the concept of real-time analytics using the following diagram:

As you can see, today the sources of data are plenty whether it's mobile devices, websites, third-party applications, or even the Internet of Things (sensors). All this data needs a way to propagate and flow from the source of their devices to the central unit where the data can be parsed, cleaned, and finally ingested. It is at this ingestion time that the data can also be analyzed...

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Big Data Analytics with Java
Published in: Jul 2017Publisher: PacktISBN-13: 9781787288980

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