How to Select a Data Sharing Tool

In a time of less budgets for science and research data sharing provides researchers with the ability to collaborate and connect with colleagues to conduct new research. This can also increase efficiency by making it possible for researchers to build upon the work of others instead having to replicate previously published studies.

Data sharing tools can be used to unite teams, boost productivity and decision making, and help to foster innovation across departments. This is why it is essential to select an application that is compatible with the speed, scale, and the governance needs of your company.

In the past users were required to manually slice up and dice data sets to share with different departments within an organization, and then create copies for customers. This can result in security concerns (recreating copies of the same dataset across multiple locations can be risky) and could be 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.