Data-driven modeling is an innovative process that enables you to analyze existing data earlier and faster.
Instead of creating OLAP cubes manually, data-driven modeling allows you to generate and fill a new Jedox OLAP cube with your existing data in CSV or Excel content. The Data-Driven Modeling Wizard models the data cube from existing data automatically and intelligently. Additionally, data-driven modeling creates a complete Jedox Integrator (ETL) script that can be further specified and used to populate the data cubes on a periodic basis.
When using DDM, Version, Measure and Time dimension types are added by default when the dimension is created. You can see the type attributed in the Advanced section of the Dimension Properties in Modeler. For a time dimension, the Time Editor becomes available by default in Modeler and the hierarchy of the dimension elements is modified to match the Time Editor settings.
A DDM process generates Version, Measure and Time-type dimensions with two predefined global subsets: *All and *Base.
Below are the requirements for the data-driven modeling procedure.
Jedox Web and Jedox Integrator must be installed and the connection from Excel Add-in to Jedox Web must work correctly. For more information, see Connection Wizard in Excel Add-in.
Data-driven modeling is by default set for a maximum file size of 128 MB. This default value can be changed in the file <install_path>\httpd\php\php.ini in the lines post_max_size and upload_max_filesize. To disable the limit, set the post_max_size value to 0.
To use DDM in an environment with Windows Single Sign-On, see the article SSO Windows Configuration.
A user requires delete (D) rights on the following rights objects: database, cube, dimension, dimension element, cell data, ste_files, ste_etl, and ste_reports.