Oracle SQL Developer Data Modeler 3.3 now available

http://www.oracle.com/technetwork/developer-tools/datamodeler/overview/index.html

Attention all data modellers - we are pleased to announce the release of SQL Developer Data Modeler 3.3. This release includes a new search, reports can be generated from search results, extended Excel import and export capabilities and more control and flexibility in generating your DDL. Here are a few links to get you started:

• For downloads see here: http://www.oracle.com/technetwork/developer-tools/datamodeler/downloads/index.html
• For information about new features see here: http://www.oracle.com/technetwork/developer-tools/datamodeler/datamodeler-33-newfeatures-1869156.html
• The release notes are available here: http://www.oracle.com/technetwork/developer-tools/datamodeler/data-modeler-releasenotes33-1869517.html
• The documentation can be found here: http://www.oracle.com/pls/topic/lookup?ctx=E29463_01&id=homepage

For data warehouse data modellers there are some very important new features around logical models, multi-dimensional models and physical models. For example:

• Support for surrogate keys during engineering to relational model which can be set on each entity. 
• More flexible transformation to relational model with mixed engineering strategies based on “engineer” flag and subtypes setting for each entity in the hierarchy
• Export to “Oracle AW” now supports Oracle 11g OLAP
• Support for role playing dimensions in export to Oracle AW.
• Level descriptive attributes can be created without mapping to attribute in logical model.
• Multidimensional model can be bound directly to relational model. 
• Support EDITIONING option on views, and support for invisible indexes in Oracle 11g physical model.

Lots of great features that will make life a lot easier for data warehouse teams.

Starbucks 1TB cube in production

Check out the customer snapshot Oracle has published which describes the success Starbucks Coffee has achieved by moving their data warehouse to the Exadata platform, leveraging the Oracle Database OLAP Option and Oracle BIEE at the front end.    10,000 users in HQ and across thousands of store locations now have timely accurate and calculation rich information at their fingertips.

Starbucks Coffee Company Delivers Daily, Actionable Information to Store Managers, Improves Business Insight with High Performance Data Warehouse

( http://www.oracle.com/us/corporate/customers/customersearch/starbucks-coffee-co-1-exadata-ss-1907993.html )

By delivering extreme performance combined with the architectural simplicity and sophisticated multidimensional calculation power of the in-database analytics of the Database, Starbucks use of OLAP has enabled some outstanding results. Together with the power of other Oracle Database and Exadata benefits such as Partitioning, Hybrid Columnar Compression, Storage Indexes and Flash Memory, Starbucks is able to handle the constant growth in data volumes and end-user demands with ease.

A great example of the power of the "Disk To Dashboard" capability of Oracle Business Analytics.