How to Select a Data Sharing Tool

In a time of reduced expenditure on science and research data sharing provides researchers with the opportunity to connect and collaborate with colleagues to conduct important new research. It can also improve efficiency by giving researchers the opportunity to build upon the work of others instead of having them replicate existing studies.

Data sharing tools can to bring teams together around a common vision, improve productivity and decision-making, and encourage improvement and innovation in data quality across departments. It is important 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 data sets to share with different departments of an organization, and then create copies for customers. This can create security concerns (recreating the same data across several regions could be risky) and is a burden in terms of management of 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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