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How to Select a Data Sharing Tool

In these times of lower funding for science and research, data sharing can provide researchers with the ability to collaborate and connect with peers to perform important new studies. This can also improve efficiency by giving researchers the opportunity to build upon the research of others without having to replicate already existing studies.

Data sharing tools can be used to unify teams, boost efficiency and decision making, and help to foster innovation across departments. This is why it is so important to select a data sharing tool that is compatible with the speed, scale, and management requirements of your business.

In the past users had to manually slice and dice datasets to share with different departments within an organization and then create copies for customers. This can create security concerns (recreating duplicates of the same dataset across multiple locations can be risky) and may be an administrative burden from a data 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 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 avg pro apk internal business stakeholders or answering tickets from IT. This results in better decision-making, faster projects and higher productivity.

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