Open source data governance and security SaaS Supplier Privacera said on Tuesday that it is integrating with Dremio’s Open Lake House to help business customers with data governance and data security.
A data lake is a data architecture that provides both storage and analytics capabilities, unlike data lakeswhich store data in native format, and data warehouses, which store structured data (often in SQL format).
The native integration between Privacera and Dremio, which comes at a time when Lakehouses are growing in popularity, is designed to help enterprise customers manage and organize secure data access while building modern applications based on data and insights. Lakehouse information, Privateera said.
The software aims to enable joint enterprise customers of Dremio and Privacera to reduce manual data management tasks for collaboration, he added.
To reduce manual efforts, Privacera offers a connector designed to provide common customers with the ability to perform granular attribute-based access control, discovery for data tagging and classification, row-level filtering , masking, data encryption and centralized auditing. .
Joint enterprise customers can also define and apply data access policies and data classification once, and deploy them anywhere, including other hybrid and multicloud data sources, the companies said in a joint statement.
Privacera already has integrations with AWS, Microsoft Azure, Databricks, Google Cloud, Snowflake, and Starburst.
Additionally, the integration will allow enterprises to comply with regulatory guidelines on all of their data assets, which will be useful for highly regulated industries such as financial services, Privacera said.
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