Chapter 4. Safeguarding Data with Clean Rooms
With the rise of data privacy regulations such as the GDPR and the CCPA and the increasing demand for external data sources, such as third-party data providers and data marketplaces, organizations need a secure, controlled, and private way to collaborate on data with their customers and partners. However, traditional data sharing solutions often require data replication and trust-based agreements, which expose organizations to potential risks of data misuse and privacy breaches.
The demand for data clean rooms has been growing in various industries and use cases due to the changing security, compliance, and privacy landscape, the fragmentation of the data ecosystem, and the new ways to monetize data. According to Gartner, 80% of advertisers that spend more than $1 billion annually on media will use data clean rooms by 2023.1 However, existing solutions have limitations on data movement and replication, are restricted to SQL, and are hard to scale.
The Databricks Data Intelligence Platform provides a comprehensive set of tools to build, serve, and deploy a scalable, flexible, and interoperable data clean room based on your data privacy and governance requirements. Some of the features include secure data sharing with no replication, full support to run arbitrary workloads and languages, easy scalability with guided onboarding experience, isolated compute, and being privacy-safe with fine-grained access controls.
Databricks Clean Rooms ...