DataFocus Data Warehouse
Data Warehouse Architecture
Various mainstream database connectors, and can be extended more
Efficient columnar data storage and compression
Data lineage diagram, with detailed analysis
Support multiple ways to create intermediate tables, including using SQL statements to create views
Tables in the data warehouse can be encapsulated into standard restful API interfaces to provide external data services
Concise and clear data asset dashboard, WYSIWYG for data warehouse assets
Accurate to field permission management can effectively serve large enterprise groups
Elastically scalable in-memory computing capability, response to billions of data in seconds
A wide variety of business databases cannot be interconnected, and it is not easy to unify data standards. Use the DFC data warehouse to aggregate the data from various business system databases into one place. Manage metadata, clarify data lineage, unify master data, and carry out data governance.
On the one hand, the rapidly growing business data is extracted into the data warehouse to avoid frequent deletion of databases and tables; On the other hand, through the search feature of DFC, data can be used quickly and efficiently. Data truly become a valid asset.
