In a time of less funding for research and science, data sharing can provide researchers with the ability to collaborate and connect with colleagues to conduct important new research. This can also increase efficiency by making it possible for researchers to build upon the work of others instead of having to duplicate existing studies.

Data sharing tools can be used to connect teams, boost productivity and decision making, and encourage innovation across departments. It is essential to choose the right tool for data sharing that will meet the speed, scale, and requirements of your company’s governance.

In the past users had to manually slice up and dice data sets to share with various parts of the organization and then create copies for customers. This could lead to security concerns (recreating duplicates of the same data in multiple regions can be risky) and can be an administrative burden from a management view.

The Databricks Delta Sharing platform enables users to create a single, dynamic view of their most critical, real-time data. The shared data here can be instantly consumed by multiple business stakeholders across a wide variety of applications, including Databricks and non-Databricks platforms. This allows analytics teams to spend more of their time on analysis and less on manual work such as creating reports for internal business stakeholders or answering tickets from IT. This results in better decision-making, faster projects and higher productivity.