Proliferation of data silos across a growing number of on-premises and on-the-cloud databases and applications creates lack of visibility and awareness of all data assets within an enterprise. High data volumes make data integration via physical movement of data into a central data warehouse or lake inefficient.
Goals and Objectives
Enable capture, analysis, and management of all metadata and data profiles and unified and consistent view of the data using data integration, federation, and virtualization; provide professionals with knowledge required to monetize and protect data assets.
Data cataloguing, lineage, profiling, stewardship tools, meta management; master data definition and control, bulk data movement, composite data frameworks, data access infrastructure, data quality, dynamic data movement tools
Use Case Summary
Ability to discover and analyze where data comes from, how data flows to support business operations and decision making, how data is transformed and consumed; on-demand access to unified data about any entity without the need to always physically move the data into a central data store