In a period of decreased funding for research and science, data sharing can provide researchers with the ability to connect and collaborate with colleagues to conduct important new research. This can also improve efficiency by allowing researchers to build upon the work of others rather than having to replicate already existing studies.

Data sharing tools can to bring teams together around a common vision, increase efficiency and decision-making, and help to encourage improvement and innovation in data quality across departments. It is important to choose a http://www.apkdownload-free.com/choosing-best-password-manager data-sharing tool that meets the speed, scale, and governance needs of your organization.

To share data between different parts of an organisation users have had manually cut and dice the datasets they wish to share and then create copies of the data for customer use on their end. This can create security issues (recreating an identical copy of the same data in multiple regions is risky) and may be an administrative burden from a 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.