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Construct a robust end-to-end solution for analyzing and
visualizing streaming data Real-time analytics is the hottest topic
in data analytics today. In Real-Time Analytics: Techniques to
Analyze and Visualize Streaming Data, expert Byron Ellis teaches
data analysts technologies to build an effective real-time
analytics platform. This platform can then be used to make sense of
the constantly changing data that is beginning to outpace
traditional batch-based analysis platforms. The author is among a
very few leading experts in the field. He has a prestigious
background in research, development, analytics, real-time
visualization, and Big Data streaming and is uniquely qualified to
help you explore this revolutionary field. Moving from a
description of the overall analytic architecture of real-time
analytics to using specific tools to obtain targeted results,
Real-Time Analytics leverages open source and modern commercial
tools to construct robust, efficient systems that can provide
real-time analysis in a cost-effective manner. The book includes: *
A deep discussion of streaming data systems and architectures *
Instructions for analyzing, storing, and delivering streaming data
* Tips on aggregating data and working with sets * Information on
data warehousing options and techniques Real-Time Analytics
includes in-depth case studies for website analytics, Big Data,
visualizing streaming and mobile data, and mining and visualizing
operational data flows. The book's "recipe" layout lets readers
quickly learn and implement different techniques. All of the code
examples presented in the book, along with their related data sets,
are available on the companion website.
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