In a time of less monetary investment for research and science, data sharing can provide researchers with the ability to collaborate and connect with other researchers to carry out important new studies. This can also increase efficiency by giving researchers the opportunity to build upon the work of others instead of having to replicate previously published studies.
Data sharing tools can unify teams around a common vision, improve efficiency click and decision-making capabilities, and foster improvement and innovation in the quality of data across departments. It is essential to choose the right tool for data sharing that will meet the speed, scale, and governance needs of your organization.
Historically, to share data among various parts of an organization, users have had to manually slice and dice the data they want to share, and then create copies of the data for customer use at their own expense. This can cause security concerns (recreating the same data 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 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.