In a time of reduced monetary investment for research and science, data sharing can provide researchers with the opportunity to connect and collaborate with peers to perform important new studies. It can also improve efficiency by allowing researchers the chance to build upon the work of others rather than having them replicate existing research.
Data sharing tools can be used to connect teams, increase efficiency and decision making, and encourage innovation across departments. It is crucial to choose an application that can meet the speed and scale as well as the requirements of your company’s governance.
To share data among different parts of an organisation users have had to manually cut and dice the datasets they want to share and then create customer-facing copies at their own expense. This can lead to security concerns (recreating an identical copy 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.