How to Select a Data Sharing Tool

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In these times of less funding for science and research researchers are able to join forces with their colleagues to conduct new research. This can also increase efficiency by permitting researchers to build on the work of others instead of having to replicate already existing studies.

Data sharing tools can be used to unify teams, improve productivity and decision making, and promote innovation across departments. It is important to choose an application that can meet the speed and scale as well as the requirements of your company’s governance.

In the past, users had to manually slice up and dice datasets to share with different departments of an organization and then create copies for customers. This can lead to security issues (recreating an identical copy of the same data in multiple regions can be risky) and can be an administrative burden from a data management viewpoint.

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.