Privacera, the cloud data governance and security leader founded by the creators of Apache Ranger™, announced the latest version of the Privacera Platform, an enterprise data governance and security solution for machine learning and analytic workloads in the public cloud. Leveraging the Apache Ranger architecture, the Privacera Platform integrates with Databricks to help ensure consistent governance, security, and compliance across all data science, machine learning, and analytics workloads.
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Privacera provides secure data sharing across the enterprise and balances the competing mandates of data democratization while adhering to applicable privacy and industry regulations such as GDPR and CCPA. The solution enables faster and more efficient on-premise data lake migrations to the cloud, supports regulatory compliance through automated discovery of sensitive data, and promotes data democratization by easily and securely sharing information with appropriate analysts and data scientists.
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As a part of this launch, Privacera also announced a partnership with Databricks, the Data and AI company. Privacera provides a natively integrated solution that extends security for data access and management of Databricks clusters. The solution empowers data teams to immediately replicate compliance when migrating Hadoop workloads to the cloud, easily ensure consistent security via row, column-level access control and accelerate discovery/identification of sensitive data in Delta Lake without impacting performance or functionality. New in this latest version, Privacera’s native integration extends and enhances multi-user shared environments to support robust security, privacy, and governance controls for Databricks clusters.
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