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Oracle Big Data Handbook
     

Oracle Big Data Handbook

5.0 2
by Tom Plunkett, Brian Macdonald, Bruce Nelson, Mark Hornick, Helen Sun
 

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Transform Big Data into Insight

"In this book, some of Oracle's best engineers and architects explain how you can make use of big data. They'll tell you how you can integrate your existing Oracle solutions with big data systems, using each where appropriate and moving data between them as needed." -- Doug Cutting, co-creator of Apache Hadoop

Overview

Transform Big Data into Insight

"In this book, some of Oracle's best engineers and architects explain how you can make use of big data. They'll tell you how you can integrate your existing Oracle solutions with big data systems, using each where appropriate and moving data between them as needed." -- Doug Cutting, co-creator of Apache Hadoop

Cowritten by members of Oracle's big data team, Oracle Big Data Handbook provides complete coverage of Oracle's comprehensive, integrated set of products for acquiring, organizing, analyzing, and leveraging unstructured data. The book discusses the strategies and technologies essential for a successful big data implementation, including Apache Hadoop, Oracle Big Data Appliance, Oracle Big Data Connectors, Oracle NoSQL Database, Oracle Endeca, Oracle Advanced Analytics, and Oracle's open source R offerings. Best practices for migrating from legacy systems and integrating existing data warehousing and analytics solutions into an enterprise big data infrastructure are also included in this Oracle Press guide.

  • Understand the value of a comprehensive big data strategy
  • Maximize the distributed processing power of the Apache Hadoop platform
  • Discover the advantages of using Oracle Big Data Appliance as an engineered system for Hadoop and Oracle NoSQL Database
  • Configure, deploy, and monitor Hadoop and Oracle NoSQL Database using Oracle Big Data Appliance
  • Integrate your existing data warehousing and analytics infrastructure into a big data architecture
  • Share data among Hadoop and relational databases using Oracle Big Data Connectors
  • Understand how Oracle NoSQL Database integrates into the Oracle Big Data architecture
  • Deliver faster time to value using in-database analytics
  • Analyze data with Oracle Advanced Analytics (Oracle R Enterprise and Oracle Data Mining), Oracle R Distribution, ROracle, and Oracle R Connector for Hadoop
  • Analyze disparate data with Oracle Endeca Information Discovery
  • Plan and implement a big data governance strategy and develop an architecture and roadmap

Product Details

ISBN-13:
9780071827270
Publisher:
McGraw-Hill Education
Publication date:
10/06/2013
Sold by:
Barnes & Noble
Format:
NOOK Book
Pages:
464
File size:
20 MB
Note:
This product may take a few minutes to download.

Related Subjects

Meet the Author

Tom Plunkett is a senior solution consultant with Oracle. Tom is a published author and has taught graduate-level computer science courses for Virginia Tech’s computer science department. Tom frequently speaks at conferences, including the Air Force Information Technology Conference, Armed Forces Communications and Electronics Association conferences, Big Data Camp, Cloud Camp, Collaborate, EclipseCon, Foresight Vision Weekend, Innovations in e-Learning Symposium, the International Cloud Symposium, Open Group Member Conferences, the OSD NDU Social Media Implementation Across Organizational Boundaries conference, the Red Hat Summit, the Redstone Arsenal IT Security & Assurance Conference, the SOA Symposium, SOA World, the Web 2.0 Expo, and other conferences. Previously, Tom worked for IBM and the United States Government, taught computer science for Virginia Tech, and practiced patent law for a law firm. Tom has a B.A. and a J.D. from George Mason University, and a M.S. in Computer Science from Virginia Tech.


Helen Sun is the co-author of Oracle Big Data Handbook and wrote two chapters including Chapter 11 on Endeca and Chapter 13 on 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 being a keynote speaker at Open Group’s World Conference on Big Data and Oracle Open World. Helen is a current Oracle employee working on Endeca integration and Oracle Big Data. She regularly performs demos and education sessions with Oracle customers on Endeca and analytics and real-world expertise on implementing business analytics using Endeca for a variety of industries including Financial Services, HealthCare, Research, Manufacturing, Retail, CGP, and Public Sector


Robert (Bob) Stackowiak, VP, Enterprise Solutions, Oracle, has worked for over 20 years in the IT industry. His roles that have included software development, management of software development, systems engineering, sales and sales consulting, and business development. Bob has spoken at numerous computer related conferences and has conducted briefings with companies based around the world. He has coauthored several book including Oracle Essentials: Oracle Database 11g (4th Edition) by O’Reilly and Oracle Data Warehousing and Business Intelligence Solutions by Wiley. Additionally, his papers regarding data warehousing and computer and software technology have appeared in publications such as The Data Warehousing Institute's Journal of Data Warehousing and Data Warehousing Trends and Applications.

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The Oracle Big Data Handbook 5 out of 5 based on 0 ratings. 2 reviews.
Anonymous More than 1 year ago
Big data management is a hot topic today, because big data delivers tremendous new value to the enterprise, across a wide variety of industries and verticals. Though the value of big data is now well accepted and understood, big data processing is still in its infancy. There is still a lot to learn; that's why I believe this handbook is so timely and useful. A big data practitioner will benefit from the complete and detailed descriptions and excellent explanations of various components and the tradeoffs of cost, design complexity, programming paradigm, and how it all fits together. I have been associated with and worked at Oracle for a long time. Besides the excellent technology that Oracle produces, I continue to be amazed and impressed by Oracle's ability to repeatedly adapt to new trends and embrace new concepts and technologies to deliver compelling data management solutions to the market. This is perhaps the most important reason for Oracle's enduring success in the market. Perhaps, this is also the most important reason why anyone interested in big data should read this book. If you are a user of Oracle technologies, you'll learn about how to extend your Oracle investment to encompass big data processing. If you're not an Oracle user, you might discover important technologies and approaches to enhance your big data projects. In either case, you will benefit! This book is about Oracle's big data offerings. As usual, Oracle has delivered a well thought-out, well integrated and comprehensive solution to the market and the authors have done a stellar job of describing Oracle's big data solutions. Processing big data involves several complementary technologies, each requiring different skills and expertise. This is partly reflected in the long list of authors for this book - no single person could have done justice to the topic of big data. EAch author has done a masterful job of describing the product or topic in his area of expertise and describing how these components relate to each other. The book is an excellent resource for a very relevant, present day topic. Though big data encompasses a lot of complementary technologies, the authors have done a great job of organizind the material into the introductory section, followed by chapters that discuss the important technology components individually and in-depth, followed by a multi-chapter discussion of how to use these technologies to analyze data in various ways. The last section of the book covers important issues like privacy, security and big data governance. The book is organized so that it can be read from the beginning to end to get a complete and comprehensive understanding of Oracle's big data offerings; on the other hand, each chapter is relatively self-contained and can be read "standalone" if the reader chooses. I liked the big data appliance chapter because it highlights the benefits of pre-built, tested, optimized and production-ready engineered systems for big data processing. In my opinion, big data processing is a complex topic along multiple dimensions including data processing expertise, server configuration and management, optimizing data flows and computation in a distributed environment. The big data appliance minimizes the headaches associated with building and maintaining servers, which can be a great help in getting a big data project up and running quickly and efficiently. What sets big data processing apart from other kinds of processing is the variety, volume and velocity of data as well as the plethora of analytic techniques needed in order to derive valuable information. The book describes the various data management platforms available, as well as the different kinds of analyses that make up big data processing, including discovery analytics, text and data analytics, spatial analytics and graph analytics. The book also outlines how one might go about using big data processing in an enterprise, starting with collecting data from diverse sources, doing "experiments" to understand how that data might be used, and then using those results to drive business decisions. Of course, this is an iterative process, where each iteration results in new understanding of the data. Written by a team of experts, this book provides a comprehensive and complete guide to the big data practitioner. Definitely a must read for anyone serious about big data.
Anonymous More than 1 year ago
Excellent intro and how-to for a hot topic.  Demystifies big data and helps readers understand how to apply to their business,across many industries.  Nice job!