There are a number of Oracle Advanced Analytics and related topics taking place this week at COLLABORATE12 in Las Vegas (http://collaborate12.com).
|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
|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
|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.