In a time of less budgets for science and research data sharing can provide researchers with the opportunity to connect and collaborate with peers to perform important new studies. This can also boost efficiency by allowing researchers to build upon the work of others instead of having to duplicate existing studies.

Data sharing tools can be used to bring together teams, improve productivity and decision making, and foster innovation across departments. It is important to choose the right tool for data sharing that will meet the speed and scale as well as the management requirements of your business.

In the past, users had to manually slice up and dice data sets to share with various parts of the organization, and then create copies for customers. This could lead to security issues (recreating an identical copy of the same dataset across multiple regions could be risky) and also create an administrative burden from a management view.

The Databricks Delta Sharing platform enables users to create a single, dynamic view of their most critical, real-time data. The shared data can collect app iphone 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.