In an era of reduced investments in science and research researchers can join forces with their colleagues to conduct new studies. This can also increase efficiency by giving researchers the opportunity to build upon the work of others instead having to replicate already existing studies.

Data sharing tools can be used to unite teams, improve efficiency and decision making, and foster innovation across departments. It is essential to choose a tool for data sharing that is compatible with the speed and scale as well as the management requirements of your business.

In the past users were required manually slice and dice datasets to share with different departments of an organization, and then create copies for customers. This can create security concerns (recreating the same dataset across several regions could be risky) and could be an inconvenience in terms of management of data.

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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