Most important to any data strategy is data lineage. It provides an audit trail throughout the data’s lifecycle, tracking its movement from beginning to end while maintaining its integrity. As information volumes grow, data lineage becomes increasingly important. Understanding lineage empowers users to verify the...
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With the rapid growth in data volume, sources, as well as complexity, businesses are increasingly adopting the best practices for metadata management to power data governance and maximize data use for analytics, ML, and operational use cases. In this blog, we’ll outline how metadata management...
Read MoreEnterprises, analysts, and experts agree: data catalogs have a significant impact on your business’ bottom line. Without one, you risk getting left behind by your more data-driven competitors. Gartner calls augmented data catalogs an “enterprise must-have,” while Forrester describes machine-learning data catalogs as a “a...
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