In a time of reduced funding for science and research data sharing could provide researchers with the ability to connect and collaborate with peers to perform important new research. This can also boost efficiency by permitting researchers to build on the research of others without having to duplicate existing studies.
Data sharing tools can be used to unite teams, improve productivity and decision making, and encourage innovation across departments. This is why it’s vital to choose an application that can meet the speed, scale, and management requirements of your business.
To share data across different parts of an organisation users had to manually slice and dice the datasets they want to share, and then create customer-facing copies on their end. This can create security issues (recreating copies of the same dataset in multiple regions can be risky) and can be an administrative burden from a data management view.
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.