In these times of less funding for science and research researchers are able to connect and collaborate with their colleagues to carry out new studies. This can also increase efficiency by giving researchers the opportunity to build upon the research of others without having to replicate previously published studies.
Data sharing tools can be used to bring together teams, increase efficiency and decision-making, and foster innovation across departments. It is essential to choose a data-sharing tool that meets the speed and scale as well as the management requirements of your business.
In the past, in order to share data across various parts of an organization users have had manually cut and dice datasets they wish to share and then create copies of the data for customer use on their end. This can create security concerns (recreating copies 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.