In a period of decreased funding for science and research data sharing can provide researchers with the opportunity to collaborate and connect with colleagues to conduct important new research. This can also improve efficiency by allowing researchers the opportunity to build on the work of others instead of having them replicate existing research.
Data sharing tools can help unify teams around a common vision, improve productivity and decision-making, and foster improvement and innovation in the quality of data across departments. It is essential to choose an application that can meet the speed and scale as well as the requirements of your company’s governance.
In the past the users had manually slice and dice data sets to share with various parts of the organization and then create copies for customers. This can pose security risks (recreating the same dataset across multiple regions can be risky), and can be a burden in terms of managing 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 Managing files software 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.