In a period of decreased expenditure on science and research, data sharing can provide researchers with the opportunity to connect and collaborate with colleagues to conduct important new research. This can also improve efficiency by giving researchers the opportunity to build on the work of others, instead of having them duplicate existing studies.
Data sharing tools can be used to unify teams, boost productivity and decision-making and encourage innovation across departments. It is essential to choose a data-sharing tool that meets the speed, scale, and requirements of your company’s governance.
In the past users had to manually slice up and dice datasets to share with different departments of an organization, and then create copies for customers. This can create security concerns (recreating the same dataset across multiple regions can be risky) and could be an issue in terms of managing data.
The Databricks Clicking Here 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.