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Unity Catalog is a finegrained governance solution for data on lake house.

It helps simplify security and governance of your data by providing a central place to administer and audit data access.

Unified catalog: A unified catalog stores all your data, ML models, and analytics artifacts, in addition to metadata for each data object. The unified catalog also blends in data from other catalogs such as an existing Hive metastore.

Unified data access controls: A single and unified permissions model across all data assets and all clouds. This includes attributebased access control (ABAC) for personally identifiable information (PII).

Data isolation: Data isolation can be achieved at multiple levels–environment, storage location, data objects of increasing granularity–without losing the ability to manage access and auditing centrally.

Data auditing: Data access is centrally audited with alerts and monitoring capabilities to promote accountability.

Data quality management: Robust data quality management with builtin quality controls, testing, monitoring, and enforcement to ensure accurate and useful data is available for downstream BI, analytics, and machine learning workloads.

Data lineage: Data lineage to get endtoend visibility into how data flows in lake house from source to consumption.

Data discovery: Easy data discovery to enable data scientists, data analysts, and data engineers to quickly discover and reference relevant data and accelerate time to value.

Data sharing: Data can be shared across clouds and platforms. Delta Sharing is an open protocol developed by Databricks for secure data sharing with other organizations, or with other teams within your organization, regardless of which computing platforms they use.

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