Data Sharing and Collaboration With Delta Sharing

Enterprises need a better way to share data and AI that's  flexible and secure and that unlocks business value. Data  sharing—whether within your organization or externally—allows companies  to collaborate with partners, establish new partnerships, and generate  new revenue streams with data monetization.

With this guide, data  practitioners will better understand the data sharing landscape and  learn how to build a secure data sharing and collaboration strategy  using Delta Sharing—the first open source approach to data sharing  across data, analytics, and AI. Author Ron L'Esteve helps data  practitioners discover and monetize the broadest set of data  assets—including datasets, notebooks, AI models, applications, and  dashboards—with the widest array of data providers and consumers in an  open marketplace.

Ideal for data architects, data scientists, data analysts, and data engineers, this guide helps you:

• Understand the current data sharing landscape—and the challenges that come with it
• Share live datasets across platforms, clouds, and regions
• Build and package data products including datasets, ML models, and notebooks through a central marketplace
• Collaborate with customers and partners on any cloud with privacy-safe data clean rooms
• Build a data sharing and collaboration strategy
• Manage, govern, audit, and track shared data usage to achieve data sharing excellence