How to Select a Data Sharing Tool

In these times of lower funding for research and science data sharing can provide researchers with the ability to connect and collaborate with other researchers to carry out important new research. This can also improve efficiency by allowing researchers the opportunity to build upon the work of others instead of having them replicate previous research.

Data sharing tools can be used to connect teams, increase efficiency and decision making, and promote innovation across departments. This is why it is crucial to choose the right tool for data sharing that supports the speed, scale and management requirements of your business.

In the past, in order to transfer data between different parts of an organization users have had manually slice and dice datasets they want to share and then create customer-facing copies on their own. This could lead to security issues (recreating a copy of the same data in multiple regions can be risky) and may be an administrative burden from a data 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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