Discovery hub® - Data automation for analytics and ai
Discovery Hub® provides data automation and capabilities for data access, modelling and compliance. Discovery Hub® delivers cohesive data fabric across Microsoft on-premise technology and Azure Data Services for analytics and AI.
Discovery Hub® provides data automation for three types od data platforms for analytics and AI
1. Semantic Models offer consistent data access to casual users
With Discovery Hub® Semantic Models, governed models are defined once to deliver data in the right form and context to any visualization tool, including: Power BI, Tableau and Qlik, making it easy for all users to understand the data they work with. Because there is a shared data model, all users see the same data regardless of visualization tool. By generating semantic models, Discovery Hub® helps future-proof your data management strategy, with the ability to support multiple visualization tools or easily switch between them.
2. Build a Modern Data Warehouse (MDW) from ODX data
In the MDW, data is improved, enriched and consolidated. With the MDW, data quality issues can be resolved one time. Similar data from different systems can be rationalized to create golden records. The MDW also preserves historical data as data and source systems change over time.
3. Operational Data Exchange (ODX) builds your data lake
In the ODX, connect to data from all sources by gathering data in its raw form, without any data manipulation or cleansing. The strength in this approach is the ability to connect to ever-growing and ever-changing data from many sources. In the end, all data is in one place, with all users using one source to access raw data.