In the current climate of less investment in research and science researchers can connect and collaborate with their peers to carry out important studies. This can also boost efficiency by allowing researchers to build upon the work of others, instead of having them replicate existing research.

Data sharing tools can help unify teams around a common vision, increase efficiency and decision-making, and help to encourage innovations and improvements in the quality of data across departments. It is crucial to select the right tool for data sharing that will meet the speed, scale, and governance needs of your organization.

In the past, in order to transfer data between different parts of an organization users have had to manually slice and dice the data they wish to share, and then create copies that are visible to customers on their own. This can create security concerns (recreating duplicates of the same data across multiple locations can be risky) and also create an administrative burden from a management viewpoint.

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.

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