From: A comprehensive model for management and validation of federal big data analytical systems
FedDMV | TRDb |
---|---|
Easy data management of centralized DB. | No “single version of the truth”. |
Better data validation practices that are driven by intelligent methods (association rules). | Manual validation. |
No more manual manipulations with data and tables, the analysts use the FedDMV tool (leads to higher security). | updates and maintenance difficulties. |
Resilient data integration and standardization routines. | Data not comprehensively structured in tables. Difficult publishing and sharing. |
Less manual work by engineers and federal employees. Automated data streaming routines available. | Data overlap/redundancy between different databases – results in many inconsistencies. No automated data streaming routines. |
Easier sharing and publishing. Role-based data security. | Uses hand entered data that increases the risk of errors. Data security constantly compromised. |
Access to advanced analytical capabilities. | TRDb lacks tools that allow access to analytics. |