Tom Plunkett, Keith Laker, David Segleau, Brian Macdonald, Bruce Nelson, Mark Hornick, Helen Sun, Khader Mohiuddin, Debra Harding, Gokula Mishra, Robert Stackowiak

Oracle Big Data Handbook

By Plunkett, Tom; MacDonald, Brian; Nelson, Bruce

• Broschiertes Buch

Produktbeschreibung

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

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Produktdetails

• Verlag: McGraw-Hill Osborne / McGraw-Hill Professional
• Seitenzahl: 464
• Erscheinungstermin: 25. September 2013
• Englisch
• Abmessung: 231mm x 184mm x 27mm
• Gewicht: 772g
• ISBN-13: 9780071827263
• ISBN-10: 0071827269
• Artikelnr.: 37743772

Autorenporträt

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.

Inhaltsangabe

Front Matter
1 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