In the current climate of less investments in science and research researchers are able to collaborate and connect with peers to carry out important studies. This can also increase efficiency by giving researchers the opportunity to build upon the work of others instead of needing to replicate existing studies.
Data sharing tools can be used to bring together teams, boost efficiency and decision-making, and promote innovation across departments. It is crucial to select a tool for data sharing that is compatible with 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 manually slice and dice data they wish to share and then create copies for customers at their own expense. This can create security concerns (recreating the same dataset across several regions could be risky) and could be an inconvenience in terms of the management of 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.