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In the current climate of less investments in science and research researchers are able to collaborate and connect with colleagues to carry out new research. It can also improve efficiency by allowing researchers to build upon the research of others without having to replicate previously published studies.

Data sharing tools can unite teams around a shared vision, increase efficiency and decision-making, and help to encourage improvement and innovation in the quality of data across departments. This is why it’s crucial to choose the right data sharing tool that is compatible with the speed, scale and requirements for governance of your organization.

In the past users were required to manually slice up and dice datasets to share with different departments of an organization and then create copies for customers. This can result in security issues (recreating a copy of the same data in multiple regions can be risky) and also create an administrative burden from a data 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 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.