In an era of reduced investment in research and science researchers can connect and collaborate 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 connect teams, improve productivity and decision-making and encourage innovation across departments. It is important to choose an application that can meet the speed and scale as well as the governance requirements of your company.
To share data among various parts of an organization, users have had to manually slice and dice the datasets they want to share and then create copies for customers on their own. This can result in security issues (recreating IDShield review an identical copy of the same dataset in multiple regions is risky) and also create an administrative burden from a data management standpoint.
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.