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In today’s data-driven world, the backbone of any robust data management system lies in its ability to effectively handle and interpret metadata. The concept of a self-defined data fabric is revolutionizing how businesses approach data integration and analysis. However, the foundation of this revolutionary approach hinges on one critical aspect: efficient ingestion of metadata. This video delves into the nuances of Orion Governance’s Enterprise Information Intelligence Graph (EIIG) metadata ingestion and highlights the vital role of AI/ML-empowered ingestors in transforming the data landscape.

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.

In summary, the journey towards a self-defined data fabric is anchored by the capabilities of intelligent metadata ingestors. EIIG is a tool that is not just about ingestion; it is about building a robust foundation for data lineage, cataloging, and analytics. As we embrace this new era of data management, it becomes clear that the right tools and technologies are crucial in shaping a more informed, efficient, and data-centric future.

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