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In a time of less budgets for science and research data sharing could provide researchers with the opportunity to connect and collaborate with colleagues to conduct new research. This can also boost efficiency by allowing researchers to build upon the work of others, instead of having them duplicate existing research.

Data sharing tools can be used to bring together teams, increase productivity and decision making, and promote innovation across departments. This is why it is essential to select an application that supports the speed, scale and the governance needs of your company.

In the past, to share data across different parts of an organization users had to manually cut and dice the datasets they wish to share and then create copies for customers on their end. This can pose security risks (recreating the same data across multiple regions can be risky) and could be an issue in terms of managing 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.