In a time of reduced funding for science and research data sharing provides researchers with the ability to connect and collaborate with colleagues to conduct new research. This can also boost efficiency by allowing researchers the opportunity to build upon the work of others instead of having them replicate previous research.
Data sharing tools can help unite teams around a shared vision, increase productivity and decision-making, and help to encourage innovation and improvements in the quality of data across departments. It is important to choose a tool for data sharing that is compatible with the speed and scale as well as the governance needs of your organization.
In the past users had to manually slice up and dice data sets to share with different parts of an organisation, and then create copies for customers. This can result in security concerns (recreating a copy of the same dataset across multiple locations can be risky) and also create an administrative burden from a management view.
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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