Mark Hornick - Böcker

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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

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 strategyMaximize the distributed processing power of the Apache Hadoop platformDiscover the advantages of using Oracle Big Data Appliance as an engineered system for Hadoop andOracle NoSQL DatabaseConfigure, deploy, and monitor Hadoop and Oracle NoSQL Database using Oracle Big Data ApplianceIntegrate your existing data warehousing and analytics infrastructure into a big data architectureShare data among Hadoop and relational databases using Oracle Big Data ConnectorsUnderstand how Oracle NoSQL Database integrates into the Oracle Big Data architectureDeliver faster time to value using in-database analyticsAnalyze data with Oracle Advanced Analytics (Oracle R Enterprise and Oracle Data Mining), Oracle R Distribution, ROracle, and Oracle R Connector for HadoopAnalyze disparate data with Oracle Endeca Information DiscoveryPlan and implement a big data governance strategy and develop an architecture and roadmap