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Smith William - Master Competitive Analytics with Oracle Endeca Information Discovery

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Master Competitive Analytics with Oracle Endeca Information Discovery: summary, description and annotation

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This book reveals how to unlock insights from any type of data, regardless of structure. You will learn how to install and manage Oracle Endeca Server; design Oracle Endeca Information Discovery Studio visualizations to facilitate user-driven data exploration and discovery; enable enterprise-driven data exploration with Oracle Endeca Information Discovery Integrator; develop and implement a fraud detection and analysis application; build a healthcare correlation application that integrates claims, patient, and operations analysis; partners; clinical research; and remote monitoring; use an enterprise architecture approach to incrementally establish big data and analytical capabilities. Step-by-step instructions on implementing some of these use cases are included. --

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Copyright 2015 by McGraw-Hill Education All rights reserved Except as - photo 1

Copyright 2015 by McGraw-Hill Education. All rights reserved. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher, with the exception that the program listings may be entered, stored, and executed in a computer system, but they may not be reproduced for publication.

ISBN: 978-0-07-183319-6

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About the Authors

Helen Sun, Ph.D., is the coauthor of Oracle Big Data Handbook, writing chapters on Endeca and big data architecture development. She has written one of the most downloaded white papers on big data (along with numerous other white papers on information architecture and data governance). Helen is the lead author of Oracle Information Architecture and Framework and has spoken at various industry events, including as a keynote speaker at Open Groups World Conference on Big Data and Oracle OpenWorld. Helen is one of the most distinguished Oracle enterprise architects, and her main role is to assist CIOs and CTOs of Fortune 500 companies in architecture and transformations. She is a highly regarded thought leader in information and big data architecture, leveraging Oracles most comprehensive business analytics portfolio, including Endeca Information Discovery and other Oracle Big Data solution sets. She regularly performs education and design sessions with Oracle customers on Endeca and analytics with real-world expertise on implementing business analytics using Endeca for a variety of industries, including financial services, healthcare, research, manufacturing, retail, consumer packaged goods (CGP), and the public sector.

William Smith has more than two decades of experience as an enterprise architect with a strong background in decision support systems and analytics. Williams early career experience includes working with data from manufacturing control systems and instrumentation in industries such as plastics, petro-chemicals, glass, food, and extrusion processes. William has enterprise systems experience in higher education, finance, consumer research, and healthcare. In the area of analytics, William has worked in the area of predictive failures and statistical process control. William is currently working with customers making use of big data and is developing innovative solutions utilizing Endeca. Williams role as an enterprise architect extends into engineered systems, where he was an early adopter of Oracle-engineered systems and is now working to develop engineered systems targeted at specific applications and markets.

About the Technical Editors

Tom Plunkett is the lead author of Oracle Big Data Handbook and other books. Tom is a principal consultant with Oracle and also teaches graduate-level computer science courses for Virginia Tech. Tom is also the chief data officer for AtrocityWatch, a nonprofit organization that uses big data to analyze social media to detect precursors to atrocities. Tom has given presentations on big data at more than 50 conferences. Prior to joining Oracle, Tom practiced patent law with Fliesler Meyer in San Francisco, representing Oracle and other Silicon Valley companies. Tom has a B.A. and J.D. from George Mason University, has an M.S. in computer science from Virginia Tech, and has completed graduate coursework in management science and engineering from Stanford University.

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