How to Select a Data Sharing Tool

In a period of decreased budgets for research and science, data sharing can provide researchers with the opportunity to collaborate and connect with colleagues to conduct new studies. This can also boost efficiency by making it possible for researchers to build upon the work of others rather than having to replicate previously published studies.

Data sharing tools can unite teams around a shared vision, boost efficiency and decision-making capabilities, and foster innovations and improvements in the quality of data across departments. It is crucial to choose a data-sharing tool that meets the speed, scale, and governance needs of your organization.

In the past, in order to transfer data between different parts of an organization users have had manually cut and dice data they want to share, and then create copies that are visible to customers on their own. This can pose security risks (recreating the same dataset across different regions is risky), and can be an inconvenience 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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