In these times of lower expenditure on research and science data sharing provides researchers with the opportunity to collaborate and connect with colleagues to conduct important new research. This can also improve efficiency by making it possible for researchers to build upon the research of others without having to replicate already existing studies.
Data sharing tools can be used to unify teams, increase efficiency and decision making, and promote innovation across departments. This is why it is so important to select a data sharing tool that can meet the speed, scale and management requirements of your business.
In the past users were required to manually hop over to this website slice and dice data sets to share with different departments of an organization and then create copies for customers. This can create security issues (recreating copies of the same data in multiple regions is risky) and may be an administrative burden from a data management perspective.
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.