In these times of lower funding for science and research data sharing provides researchers with the opportunity to connect and collaborate with colleagues to conduct new research. This can also boost efficiency by giving researchers the opportunity to build upon the research of others without having to duplicate functions of password managers existing studies.
Data sharing tools can unify teams around a common vision, boost productivity and decision-making, as well as encourage creativity and improvement in data quality across departments. This is why it is vital to choose a data sharing tool that can meet the speed, scale, and management requirements of your business.
In the past, users had manually slice and dice data sets to share with different departments within an organization and then create copies for customers. This could pose security issues (recreating the same data across multiple regions can be risky), and can be an inconvenience in terms of 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.