Beehive
Extend FLink and DataBridge with a reliable history of daily Temenos Transact data.
Request FREE DemoBeehive is an additional module that builds on data provided by DataBridge. When a current snapshot is not enough, it compares successive bank days outside Temenos Transact, identifies changed records and retains their validity periods in a relational operational data store.
From daily snapshots to historical insight
Controlled processing across three staging areas
Import area
Load daily DataBridge snapshots, enrich them with company code and bank day, and consolidate data from several source entities.
Changed Data area
Compare the current bank day with the previous one and pass only new or changed records to the final data store.
Operational data store
Retain all loaded bank days with from/to validity dates and technical keys for efficient historical access.
Beyond the daily snapshot
Turn daily snapshots into usable history
Beehive extends DataBridge with a historical operational data store for Temenos Transact data. It imports daily snapshots, adds bank-day and company information, and consolidates data across companies. By comparing consecutive bank days outside the core banking system, Beehive identifies changes and retains historical records with valid-from and valid-to periods.
FLink controls configuration, execution and monitoring, while Oracle-based processing handles import, change detection and history storage. The resulting ODS provides a foundation for reporting, tailored data marts and integration with existing data warehouses.
Built for banking data history
From operational snapshots to analytical structures
Historical reporting
Query current and previous bank days without retaining separate snapshot databases for every reporting date.
Data marts and star schemas
Use the historized ODS as a consistent source for customer-specific analytical models and departmental data marts.
Lower core-system load
Perform delta detection in the relational staging database instead of consuming processing time inside Transact.
Build a dependable history from daily core banking data
Combine DataBridge and Beehive to create a controlled relational foundation for reporting, analytics and data warehouse initiatives.
Discuss your use caseFor architects and technical teams
Planning your implementation?
Review system requirements, supported platforms and detailed connectivity information.