Customising the FRTB Accelerator
This page describes the options available for customising the FRTB Accelerator to meet your requirements.
Customisation Options
Clients may choose to use an Accelerator “as is” by conforming to published data input file structures and data stores. Alternatively, clients may use the Accelerator purely as a starting point for building a suitable system with additional functionality.
| Form of Customisation | Link: |
|---|---|
| Adding Maven repositories and extracting the source code, prior to installation, in order to build the entire project. This will build the ActivePivot war file, ActiveMonitor war file and an optimised version of the UI. |
Building and deploying the Accelerator |
| Making changes at start-up to the following components: - ActivePivot - ActiveUI - ActiveMonitor |
Guidelines for developing on the Accelerator |
| Making upgrades to any or all for the following: - Version Control System (VCS) Hygiene - Upgrading the Accelerator - Merge |
Making Upgrades |
| Implementing your own maturity converters based on the IMaturityConverter interface, by employing a converter that can be configured in a properties file. |
Implementing a Configurable Maturity Converter |
| Exporting and importing bookmarks to and from a directory structure, using a utility called the Bookmark Tool, which is pre-configured in the Accelerators. |
Managing Bookmarks with the Bookmark Tool |
| Customising the Datastore outside the standard datastore config class, using the Datastore Helper, a library and API, pre-configured in the Accelerators. |
Customising the Datastore with the Datastore Helper |
| Extending the FRTB Accelerator. | Adding and Loading New Columns to an Existing File Adding New Cube Hierarchies Adding New Cube Measures Adding New Data Loading or Unloading Topics Adding New KPIs Enriching File Fields by Adding Column Calculators |
Derivative Works and Clients' IP
In the FRTB Accelerator project, Accelerator source code is delivered and IT users are free to make derivative works (which become the clients' IP) to adapt to their data sources and requirements.