Oracle Big Data Handbook
(Sprache: Englisch)
Complete coverage of all components of Oracle's Big Data platform-Oracle's integrated solution for acquiring, organizing, and analyzing unstructured data.
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Produktdetails
Produktinformationen zu „Oracle Big Data Handbook “
Complete coverage of all components of Oracle's Big Data platform-Oracle's integrated solution for acquiring, organizing, and analyzing unstructured data.
Klappentext zu „Oracle Big Data Handbook “
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 bigdata 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
... mehr
governance strategy and develop an architecture and roadmap
... weniger
Autoren-Porträt von Tom Plunkett, Brian MacDonald, Bruce Nelson
Tom Plunkett is the Big Data technical lead for Oracle Public Sector. He has spoken internationally at more than conferences and delivered hundreds of presentations worldwide on the subjects of Big Data, Cloud Computing, Java, and Service-Oriented Architecture. Tom is the lead author of Oracle Exalogic Elastic Cloud Handbook. Brian Macdonald is a Distinguished Solution Consultant and certified Oracle Enterprise Architect with Oracle. He has more than 20 years of experience creating architectures and implementing analytic platforms to address a wide range of customer needs including data warehousing, business intelligence, OLAP, Hadoop, Master Data Management, and ETL technologies.
Bruce Nelson is the Oracle Big Data lead for the Western U.S. and has more than 24 years of experience in the IT industry with a focus on Hadoop, noSQL, Oracle Database, Oracle RAC, and Oracle Exadata.
Bibliographische Angaben
- Autoren: Tom Plunkett , Brian MacDonald , Bruce Nelson
- 2013, 464 Seiten, Maße: 18,8 x 23,2 cm, Kartoniert (TB), Englisch
- By Plunkett, Tom; MacDonald, Brian; Nelson, Bruce
- Verlag: McGraw-Hill Professional
- ISBN-10: 0071827269
- ISBN-13: 9780071827263
- Erscheinungsdatum: 04.09.2013
Sprache:
Englisch
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