The PolarLake Virtualized Data Warehouse Solution features are:
- PolarLake Semantic Policy and Rules Engine: The Semantic Policy and Rules engine enables the creation and implementation of Business Rules for building consolidated records and the creation of Virtual Identifiers across all repositories. This delivers remote linking of entities with zero intervention on the source repositories themselves.
- PolarLake Data Store: The Data Store provides a store for Source Data as well as Index Data used in Virtualized queries. A post-relational Data Store, it is also fully change tolerant to changes in source repositories with zero downtime for format changes.
- PolarLake Connectivity Subsystem: The PolarLake Connectivity Subsystem enables communication across multiple protocols and formats in batch, real time, request reply, pub sub and ad hoc distributions. This PolarLake component allows for the assembly of Virtualized Queries, data import into the PolarLake Data Store, as well as a sophisticated export / API service to the Data Store.
The benefits of PolarLake’s Virtualized Data Warehouse Solution are:
- Multi-Asset Class Support: PolarLake’s soft model approach enables support for all asset classes (equities, fixed income, derivatives etc.) in a single platform.
- Rapid Non Invasive Implementation: Firms typically have multiple trade repositories in place today. PolarLake enables an integrated search across these warehouses with zero impact on these applications themselves.
- Improved Transparency and Data Usability: With an intuitive search application data becomes searchable across all sources in a single application with drill down into sources of trades as well as consolidation rules.
2012