In a time of decreased investment in research and science researchers can collaborate and connect with colleagues to conduct new research. This can also improve efficiency by permitting researchers to build on the work of others instead having to duplicate existing studies.

Data sharing tools can be used to connect teams, boost efficiency and decision making, and foster innovation across departments. It is crucial Visit Website to choose a tool for data sharing that is compatible with the speed, scale, and governance requirements of your company.

Historically, to share data across different parts of an organisation users have had manually cut and dice data they wish to share, and then create copies for customers on their own. This can lead to security issues (recreating duplicates of the same dataset in multiple regions can be risky) and also create an administrative burden from a 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.