In a time of decreased funding for science and research researchers are able to join forces with their peers to carry out important research. This can also improve efficiency by allowing researchers the chance to build on the work of others, instead of having them duplicate existing research.
Data sharing tools can bring teams together around a common vision, increase efficiency and decision-making capabilities, as well as encourage innovation and improvements in the quality of data across departments. This is why it is crucial to choose the right tool for data sharing that meets the speed, scale, and the governance needs of your company.
To share data across different parts of an organization users had to manually cut and dice the datasets they wish to share and then create copies that are visible to customers at their own expense. This can cause security concerns (recreating the same data in multiple regions 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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