In these times of less investments in science and research researchers are able to collaborate and connect with their colleagues to conduct new research. This can also improve efficiency by allowing researchers to build upon the work of others instead of having them replicate existing research.

Data sharing tools can bring teams together around a common vision, improve efficiency and decision-making capabilities, and encourage improvement and innovation in data quality across departments. It is important to choose a data-sharing tool that meets the speed and scale as well as the governance needs of your organization.

In the past users had to manually slice and dice data sets to share with different parts of an organisation and then create copies for customers. This can lead to security concerns (recreating duplicates of the same data in multiple regions is 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.

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