Franks - Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics

Additional praise for Taming the Big Data Tidal Wave

This book is targeted for the business managers who wish to leverage the opportunities that big data can bring to their business. It is written in an easy flowing manner that motivates and mentors the non-technical person about the complex issues surrounding big data. Bill Franks continually focuses on the key success factor How can companies improve their business through analytics that probe this big data? If the tidal wave of big data is about to crash upon your business, then I would recommend this book.

Richard Hackathorn, President, Bolder Technology, Inc.

Most big data initiatives have grown both organically and rapidly. Under such conditions, it is easy to miss the big picture. This book takes a step back to show how all the pieces fit together, addressing varying facets from technology to analysis to organization. Bill approaches big data with a wonderful sense of practicalityjust get started and deliver value as you go are phrases that characterize the ethos of successful big data organizations.

Eric Colson, Vice President of Data Science and Engineering, Netflix

Bill Franks is a straight-talking industry insider who has written an invaluable guide for those who would first understand and then master the opportunities of big data.

Thornton May, Futurist and Executive Director, The IT Leadership Academy

Wiley & SAS Business Series

The Wiley & SAS Business Series presents books that help senior-level managers with their critical management decisions.

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Copyright 2012 by Bill Franks. All rights reserved.

Published by John Wiley & Sons, Inc., Hoboken, New Jersey.

Published simultaneously in Canada.

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Library of Congress Cataloging-in-Publication Data:

Franks, Bill

Taming the big data tidal wave: finding opportunities in huge data streams with advanced analytics / Bill Franks.

pages cm. (Wiley & SAS business series)

Includes bibliographical references and index.

ISBN 978-1-118-20878-6 (cloth); ISBN 978-1-118-22866-1 (ebk); ISBN 978-1-118-24117-2 (ebk); ISBN 978-1-118-26588-8 (ebk)

1. Data mining. 2. Database searching. I. Title.

QA76.9.D343.F73 2012

006.312dc23

2011048536

This book is dedicated to Stacie, Jesse, and Danielle, who put up with all the nights and weekends it took to get this book completed.