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Big Data Analytics with Spark: A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing
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Big Data Analytics with Spark: A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing

by Mohammed Guller
January 2016
Beginner to intermediate
304 pages
8h 16m
English
Apress
Content preview from Big Data Analytics with Spark: A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing

CHAPTER 1

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Big Data Technology Landscape

We are in the age of big data. Data has not only become the lifeblood of any organization, but is also growing exponentially. Data generated today is several magnitudes larger than what was generated just a few years ago. The challenge is how to get business value out of this data. This is the problem that big data–related technologies aim to solve. Therefore, big data has become one of the hottest technology trends over the last few years. Some of the most active open source projects are related to big data, and the number of these projects is growing rapidly. The number of startups focused on big data ...

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Publisher Resources

ISBN: 9781484209646Purchase book