What is Data Catalog?
Data Catalog is a well-structured inventory of data assets in the organization. It helps an organization to manage their data through metadata. It enables data professionals to collect, organize, access, and enrich metadata to support data discovery and governance.
Data catalogs have become the standard for metadata management for big data and self-service analytics. It focuses first on the datasets and connects those datasets with rich information to inform people who work with data to evaluate fitness data for intended uses.
What does a data catalog do?
A data catalog links data with the assets and helps a company organize its data, discover the right data assets, and evaluate if an asset is right for specific use cases. It also allows users to view and understand the lineage of the data including the data source and transformed data. A modern data catalog automates the discovery of datasets to get maximum value and minimize manual efforts. It uses AI and machine learning for metadata collection, semantic inference, and tagging.
What are the benefits of a data catalog?
- Maintain and improve data quality for better business decisions by ensuring dependable usage of data elements
- Enables self-service access to data and reduces dependencies on the IT team.
- Reduce data risk with improved compliance for GDPR, PII, etc.