Monday, April 23, 2012

Oracle Analytics Sessions at COLLABORATE12

There are a number of Oracle Advanced Analytics and related topics taking place this week at COLLABORATE12 in Las Vegas (

Date Time Presentation Presenter
Sun 22nd 9:00-3pm Oracle Business Intelligence Application Journey  
Mon 23rd 9:45-10:45 Managing Unstructured Data using Hadoop, Oracle 11g and Oracle Exadata Database Machine Jim Steiner
Mon 23rd 9:45-10:45 Environmental Data Management and Analytics-a Real World Perspective Angela Miller
Mon 23rd 11-12 Public Safety and Environmental Real-Time Analytics using Oracle Business Intelligence Raghav Venkat
Therese Arguelles
Mon 23rd 11-12 BI is more than slice and dice Peter Scott
Mon 23rd 14:30-15:30 In-Database Analytics: Predictive Analytics, Data Mining, Exadata & Business Intelligence Jacek Myczkowski
Mon 23rd 15:45-16:45 Big Data Analytics, R you ready Mark Hornick
Shyam Nath
Tues 24th 10:45-11:45 BI Analytics and Oracle NoSQL. The Future of Now Manish Khera
Wed. 25th 8:15-9:15 Oracle Data Mining – A Component of the Oracle Advanced Analytics Option-Hands-on Lab Charlie Berger
Wed 25th 9:30-10:30 Oracle R Enterprise – A Component of the Oracle Advanced Analytics Option-Hands-on Lab Mark Hornick

Here are the abstracts from the two main Oracle Advanced Analytics presentations by Charlie Berger and Mark Hornick

Oracle Data Mining – A Component of the Oracle Advanced Analytics Option

This Hands-on Lab provides an introduction to Oracle Data Mining and the Oracle Data Miner GUI.

Oracle Data Mining (ODM), now part of Oracle Advanced Analytics, provides an extensive set of in-database data mining algorithms that solve a wide range of business problems. It can predict customer behavior, detect fraud, analyze market baskets, segment customers, and mine text to extract sentiments. ODM provides powerful data mining algorithms that run as native SQL functions for in-database model building and model deployment. There is no need for the time delays and security risks of data movement.

The free Oracle Data Miner GUI is an extension to Oracle SQL Developer 3.1 that enables data analysts to work directly with data inside the database, explore the data graphically, build and evaluate multiple data mining models, apply ODM models to new data, and deploy ODM’s predictions and insights throughout the enterprise. Oracle Data Miner work flows capture and document the user's analytical methodology and can be saved and shared with others to automate advanced analytical methodologies.

Oracle R – A component of the Oracle Advanced Analytics Option

This Hands-on Lab provides an introduction to Oracle R Enterprise.

Oracle R Enterprise, a part of the Oracle Advanced Analytics Option, makes the open source R statistical programming language and environment ready for the enterprise by integrating R with Oracle Database. R users can interactively and transparently execute R scripts for statistical and graphical analyses on data stored in Oracle Database. R scripts can be executed in Oracle Database using potentially multiple database-managed R engines - resulting in data parallel execution. ORE also provides a rich set of statistical functions and advanced analytics techniques.

In this lab, attendees will be introduced to Oracle's strategy for R, including the Oracle R Distribution, Oracle R Enterprise (ORE), and Oracle R Connector for Hadoop (ORCH). We will focus on Oracle R Enterprise with hands-on exercises exploring the transparency layer, embedded R execution, and statistics engine.

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