In a time of less monetary investment for science and research data sharing can provide researchers with the opportunity to connect and collaborate with other researchers to carry out important new research. This can also increase efficiency by permitting researchers to build on the research of others without having to duplicate existing studies.
Data sharing tools can to bring teams together around a common vision, boost productivity and decision-making, and help to encourage innovations and improvements in data quality across departments. It is important to choose the right tool for data sharing that will meet the speed, scale, and management requirements of your business.
In the past users were required to manually slice up and dice data sets to share with different departments of an organization and then create copies for customers. This could lead to security concerns (recreating copies of the same data in multiple regions can be risky) and can be an administrative burden from a management viewpoint.
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.