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Practical Graph Analytics with Apache Giraph (Paperback, 1st ed.)
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Practical Graph Analytics with Apache Giraph (Paperback, 1st ed.)
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Practical Graph Analytics with Apache Giraph helps you build data
mining and machine learning applications using the Apache
Foundation's Giraph framework for graph processing. This is the
same framework as used by Facebook, Google, and other social media
analytics operations to derive business value from vast amounts of
interconnected data points. Graphs arise in a wealth of data
scenarios and describe the connections that are naturally formed in
both digital and real worlds. Examples of such connections abound
in online social networks such as Facebook and Twitter, among users
who rate movies from services like Netflix and Amazon Prime, and
are useful even in the context of biological networks for
scientific research. Whether in the context of business or science,
viewing data as connected adds value by increasing the amount of
information available to be drawn from that data and put to use in
generating new revenue or scientific opportunities. Apache Giraph
offers a simple yet flexible programming model targeted to graph
algorithms and designed to scale easily to accommodate massive
amounts of data. Originally developed at Yahoo!, Giraph is now a
top top-level project at the Apache Foundation, and it enlists
contributors from companies such as Facebook, LinkedIn, and
Twitter. Practical Graph Analytics with Apache Giraph brings the
power of Apache Giraph to you, showing how to harness the power of
graph processing for your own data by building sophisticated graph
analytics applications using the very same framework that is relied
upon by some of the largest players in the industry today.
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