A self-defined data fabric starts with efficient ingestion of metadata. Not all metadata ingestors or scanners are created equal. Only dedicated, AI/ML-empowered ingestors can do the job quickly, accurately, and intelligently.
EIIG offers more than 70 such intelligent ingestors with capabilities such as data ingestion health analytics to ensure that the “right” metadata is ingested to build the foundation for data lineage, data catalog and metadata analytics.
Recent Posts
- Understanding Active Metadata: Enhancing Data Management and Decision-Making Introduction
- EIIG’s Self-Defined Data Fabric and the Alignment with COBIT 5’s Five Principles
- How to Ensure Accurate and Trustworthy Reporting from Mainframe Data with Self-defined Data Fabric
- What is Metadata? A Brief Introduction to Metadata and Metadata Management
- Understanding Data Catalogs: The Key to Efficient Data Management