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Master the Big Data Capabilities of Oracle R Enterprise
Effectively manage your enterprise's big data and keep complex processes running smoothly using the hands-on information contained in this Oracle Press guide. Oracle R Enterprise: Harnessing the Power of R in Oracle Database shows, step-by-step, how to create and execute large-scale predictive analytics and maintain superior performance. Discover how to explore and prepare your data, accurately model business processes, generate sophisticated graphics, and write and deploy powerful scripts. You will also find out how to effectively incorporate Oracle R Enterprise features in APEX applications, OBIEE dashboards, and Apache Hadoop systems.
Learn to:
* Install, configure, and administer Oracle R Enterprise
* Establish connections and move data to the database
* Create Oracle R Enterprise packages and functions
* Use the R language to work with data in Oracle Database
* Build models using ODM, ORE, and other algorithms
* Develop and deploy R scripts and use the R script repository
* Execute embedded R scripts and employ ORE SQL API functions
* Map and manipulate data using Oracle R Advanced Analytics for Hadoop
* Use ORE in Oracle Data Miner, OBIEE, and other applications
Sprache
Verlagsort
Zielgruppe
Illustrationen
Maße
Höhe: 231 mm
Breite: 216 mm
Dicke: 15 mm
Gewicht
ISBN-13
978-1-259-58516-6 (9781259585166)
Schweitzer Klassifikation
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
