How to Select a Data Sharing Tool
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In a time of reduced expenditure on research and science data sharing could provide researchers with the ability to collaborate and connect with colleagues to conduct new studies. This can also increase efficiency by giving researchers the opportunity to build upon the work of others instead of needing to replicate existing studies.
Data sharing tools can unite teams around a shared vision, boost productivity and decision-making capacity, and help to encourage improvement and innovation in data quality across departments. This is why it is essential to select a data sharing tool that meets the speed, scale, and requirements for governance of your organization.
In the past, users had manually slice and dice datasets to share with different departments of an organization and then create copies for customers. This can pose security risks (recreating the same dataset in multiple locations can be risky) and can be an inconvenience in terms of the 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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