In a period of decreased funding for research and science, data sharing can provide researchers with the ability to connect and collaborate with peers to perform important new studies. This can also boost efficiency by giving researchers the chance to build upon the work of others, rather than having them replicate existing studies.
Data sharing tools can help unite teams around a shared vision, increase efficiency and decision-making, as well as encourage improvement and innovation in data quality across departments. This is why it is crucial to choose an application that is compatible with the speed, scale and the governance needs of your company.
Historically, to share data across different parts of an organisation users have had to manually cut and dice datasets they want to share, and then create customer-facing copies at their own expense. This can create security concerns (recreating the same data in multiple locations can 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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