In an era of reduced investment in science and research researchers can connect and collaborate with their colleagues to conduct new studies. It can also improve efficiency by giving researchers the opportunity to build on the work of others, rather than having them replicate existing research.

Data sharing tools can help bring teams together around a common vision, boost efficiency and decision-making capabilities, and encourage creativity and improvement in the quality of data across departments. It is important to choose the right tool for data sharing that will meet the speed and scale as well as the governance requirements of your company.

In the past, in order to transfer data between different departments within an organization, users have had to manually cut and dice the datasets they want to share, and then create copies for customers on their own. This can create security concerns (recreating the same dataset in multiple regions can be risky) and can be an inconvenience in terms of the management of data.

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.