This chapter covers
- Privacy-first data sharing with data clean rooms
- Navigating privacy regulations in a cookieless future
- Clean room benefits: security, compliance, and multiparty insights
- Types of clean rooms: walled gardens and neutral hubs
- Secure collaboration, flexible application integration, and adherence to industry standards
We’re just scratching the surface of what’s possible with data collaboration in Snowflake. As more organizations embrace the cloud and data sharing, we’ll see an explosion of new ideas and applications that we can’t even imagine today.
—Sridhar Ramaswamy, CEO of Snowflake
As privacy regulations tighten and third-party cookies lose their prominence, businesses must adapt to new methods of collecting, analyzing, and activating data. Data clean rooms—secure, privacy-first environments—offer a viable approach, enabling meaningful collaboration without compromising sensitive information. This chapter introduces the foundational concepts behind data clean rooms, examines their role in fostering effective partnerships, and highlights the privacy-enhancing techniques that preserve confidentiality. It also considers core use cases, from audience targeting and refined measurement to advanced machine learning.