In these times of less investments in science and research, researchers can collaborate and connect with their peers to perform new important research. This can also improve efficiency by giving researchers the opportunity to build upon the work of others instead having to replicate previously published studies.
Data sharing tools can be used to connect teams, increase productivity and decision-making and help to foster innovation across departments. It is crucial to select an application that can meet the speed, scale, and governance needs of your organization.
In the past the users had to manually slice up and dice datasets to share with different departments within an organization and then create copies for customers. This could lead to security concerns (recreating copies of the same dataset in multiple regions can be risky) and could 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 page answering tickets from IT. This results in better decision-making, faster projects and higher productivity.