Oracle Big Data Handbook - Tom Plunkett, Brian MacDonald, Bruce Nelson, Mark Hornick, Helen Sun

Oracle Big Data Handbook

Buch | Softcover
464 Seiten
2013
Osborne/McGraw-Hill (Verlag)
978-0-07-182726-3 (ISBN)
64,80 inkl. MwSt
Complete coverage of all components of Oracle’s Big Data platform—Oracle’s integrated solution for acquiring, organizing, and analyzing unstructured data.
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality,               authenticity, or access to any online entitlements included with the product.


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 formigrating from legacy systems and integrating existing data warehousing and analytics solutions into an enterprise big data infrastructure are also included inthis 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 andOracle 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

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.

Front Matter1 How to Use This Book

Section I: Introduction
1. Introduction to Big Data
2. Big Data Use Cases
3. Big Data, Concepts, Insights and Operational information

Section II: Big Data Platform
4. The BigData platform BDA, Exadata, Exalytics, Endeca
5. Why an Appliance
6. Configuration options

Section III: Acquiring and Organizing Data
7. Map Reduce Theory and Programming
8. BDA Connectors
9. Oracle noSQL

Section IV: Analyzing Information and Making Decisions
10. In-Database Analytics Minig. OLAP
11. Analyzing Data with R
12. Discovery with Endeca

Erscheint lt. Verlag 16.10.2013
Zusatzinfo 80 Illustrations
Verlagsort New York
Sprache englisch
Maße 224 x 229 mm
Gewicht 769 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Datenbanken Oracle
Mathematik / Informatik Informatik Netzwerke
ISBN-10 0-07-182726-9 / 0071827269
ISBN-13 978-0-07-182726-3 / 9780071827263
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Datenanalyse für Künstliche Intelligenz

von Jürgen Cleve; Uwe Lämmel

Buch | Softcover (2024)
De Gruyter Oldenbourg (Verlag)
74,95
Auswertung von Daten mit pandas, NumPy und IPython

von Wes McKinney

Buch | Softcover (2023)
O'Reilly (Verlag)
44,90