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In a time of decreased investment in science and research, researchers can connect and collaborate with their peers to carry out important studies. This can also boost efficiency by giving researchers to build upon the work of others instead of having them duplicate previous research.
Data sharing tools can be used to unify teams, boost productivity and decision making, and help to foster innovation across departments. It is important to choose a tool for data sharing that is compatible with the speed, scale, and governance needs of your organization.
In the past the 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 can cause security concerns (recreating the same dataset across different regions is risky) and can be an issue in terms of data management.
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.