In a time of decreased investment in science and research researchers are able to join forces with their colleagues to carry out new research. This can also boost 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 unify teams, increase 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, scale, and governance requirements of your company.
In the past, in order to share data among different parts of an organisation users had to manually slice and dice datasets they wish to share, and then create customer-facing copies on their end. This can cause security concerns (recreating the same dataset across several regions could be risky), and can be a burden for 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.