In these times of lower budgets for science and research data sharing provides researchers with the opportunity to collaborate and connect with colleagues to conduct important new studies. It can also improve efficiency by giving researchers the opportunity to build upon the research of others without needing to replicate existing studies.
Data sharing tools can help unite teams around a shared vision, boost efficiency and decision-making capabilities, and help to encourage creativity and improvement in the quality of data across departments. This is why it is vital to choose a data sharing tool that meets the speed, scale, and requirements for governance of your organization.
To share data between various parts of an organization users have had manually slice and dice datasets they wish to share and then create copies of the data for customer use at their own expense. This can lead to security issues (recreating copies of the same data across multiple locations can be risky) and could be an administrative burden from a data management standpoint.
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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