In the current climate of less investment in research and science researchers are able to join forces with their peers to perform new important studies. This can also improve efficiency by giving researchers the chance to build on the work of others instead of having them replicate existing studies.
Data sharing tools can be used to bring together teams, increase productivity and decision making, and encourage innovation across departments. It is crucial to choose the right tool for data sharing that will meet the speed and scale as well as the governance needs of your organization.
In the past, users had manually slice and dice datasets to share with different parts of an organisation and then create copies for customers. This could pose security issues (recreating the same dataset in several regions could be risky) and is a burden in terms of managing This Site 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.
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