Gain insight into how to govern and consume IBM's unique in-motion
and at-rest Big Data analytic capabilitiesA. R. Ammons once said,
"A word too much repeated falls out of being", and although the
term Big Data sometimes seems to be "too much repeated", it's not
about to fall "out of being". That said, it is subject to a lot of
hype. The term Big Data is a bit of a misnomer. Truth be told,
we're not even big fans of the term--despite the fact that it is so
prominently displayed on the cover of this book--because it implies
that other data is somehow small (it might be) or that this
particular type of data is large in size (it can be, but doesn't
have to be). This is Big Data in a nutshell: It is the ability to
retain, process, and understand data like never before. It can mean
more data than what you are using today; but it can also mean
different kinds of data, a venture into the unstructured world
where most of today's data resides. The Big Data opportunity. It's
a shift, rift, lift, or cliff for your business--this book is going
to help you experience the shift and lift, while those that don't
work to get beyond the hype end up in a rift or cliff. In this book
you will learn how cognitive computing systems, like IBM Watson,
fit into the Big Data world. You'll learn how Big Data needs a
"ground-to-cloud" architecture, what a Data Refinery looks like,
and theimportance of a next generation data platform. Gain an
understanding of the concepts of data-in-motion, data-at-rest
(technologies like Hadoop play here, as well as others), the role
that NoSQL and polyglot play in a leading edge analytics
architecture, and more. Get details about the Big Data platform
manifesto and why it is a must for any Big Data project. Capturing,
storing, refining, transforming, governing, securing, and analyzing
data, traditionally or as a service, are important topics
alsocovered in this book.
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