Oracle R Enterprise: Harnessing the Power of R in Oracle Database

Oracle R Enterprise: Harnessing the Power of R in Oracle Database

By: Brendan Tierney (author)Paperback

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Master the powerful big data analytics capabilities of Oracle R Enterprise Create and execute dynamic, real-time data analytics using the Oracle in-database capabilities of Oracle R Enterprise. Oracle R Enterprise: Harnessing the Power of R in the Oracle Database shows, step-by-step, how to drive large-scale, predictive analytics that were previously unachievable-from data mining to statistical analysis and graphics. You will find out how to install and configure Oracle R Enterprise, prepare data, build accurate models, create scripts, work with advanced analytics, and use ORE in OBIEE and other tools. The book clearly demonstrates how to use the ORE features on client-side scripts, embed R scripts in the database, utilize key in-database features, and employ the Oracle R Advanced Analytics for Hadoop feature. Testing, performance enhancements, and security are fully covered in this hands-on guide from Oracle Press. * Covers all of the features in Oracle R Enterprise * Offers expert advice, proven strategies, and detailed examples * Written by an Oracle ACE Director who is a highly-respected speaker

About Author

Brendan Tierney, Oracle ACE Director, is an independent consultant and lectures on Data Mining and Advanced Databases in the Dublin Institute of Technology in Ireland. He is an Oracle ACE Director and has extensive experience working in the areas of Data Mining, Data Warehousing, Data Architecture and Database Design. Brendan has worked on projects in Ireland, UK, Belgium and USA and has been working with the Oracle database and tools since 1992. Brendan is the editor of the UKOUG Oracle Scene magazine and deputy chair of the OUG Ireland BI SIG. Brendan is a regular speaker at conferences across Europe and the USA, including Oracle Open World. In addition to his presentations Brendan has written technical articles for OTN, Oracle Scene, IOUG SELECT Journal and ODTUG Technical Journal. He is author of the Oracle Press book titled, Predictive Analytics using Oracle Data Miner.


Chapter 1: Oracle Advanced Analytics Chapter 2: Installing Oracle R Enterprise Chapter 3: Getting Started with Oracle R Enterprise Chapter 4: The Transparency Layer Chapter 5: The Oracle R Enterprise Packages Chapter 6: Exploring & Preparing Your Data Chapter 7: Building Models Using ODM Algorithms Chapter 8: Building Models Using ORE and Other Algorithms Chapter 9: Creating ORE Scripts Chapter 10: Embedded R Execution Chapter 11: Oracle R Advanced Analytics for Hadoop Chapter 12: Using ORE in Oracle Data Miner Chapter 13: Using ORE in OBIEE & Other Tools Chapter 14: Oracle R Enterprise for the Oracle DBA

Product Details

  • ISBN13: 9781259585166
  • Format: Paperback
  • Number Of Pages: 272
  • ID: 9781259585166
  • weight: 411
  • ISBN10: 1259585166

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