In a time of reduced budgets for research and science data sharing provides researchers with the opportunity to connect and collaborate with colleagues to conduct important new research. This can also increase efficiency by allowing researchers the chance to build on the work of others, instead of having them duplicate previous studies.
Data sharing tools can be used to connect teams, boost productivity and decision-making and foster innovation across departments. This is why it’s vital to choose the right data sharing tool that can meet the speed, scale, and the governance needs of your company.
In the past, in order to share data among different departments within an organization users have had to manually cut and dice datasets they want to share, and then create copies for customers on their end. This could lead to security concerns (recreating copies of the same data across multiple locations can be risky) and can be an administrative burden from a management perspective.
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.