How to Select a Data Sharing Tool

In these times of less investment in research and science researchers can collaborate and connect with their colleagues to conduct new research. This can also boost efficiency by giving researchers the opportunity to build on the work of others, rather than having them replicate previous studies.

Data sharing tools can be used to unite teams, boost productivity and decision-making and promote innovation across departments. It is crucial to select a data-sharing tool that meets the speed and scale as well as the governance requirements of your company.

To share data across various parts of an organization users have had manually slice and dice the data they wish to share, and then create copies that are visible to customers on their end. This could pose security issues (recreating the same data in several regions could be risky), and can be an issue in terms of the 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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