How to Select a Data Sharing Tool

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In the current climate of less investments in science and research researchers are able to join forces with their peers to perform new important research. This can also boost efficiency by allowing researchers to build upon the work of others rather than having to replicate previously published studies.

Data sharing tools can be used to bring together teams, boost productivity and decision-making and help to foster innovation across departments. It is important to choose the right tool for data sharing that will meet the speed and scale as well as the management requirements of your business.

Historically, to share data among various parts of an organization users had to manually slice and dice the datasets they want to share and then create customer-facing copies on their own. This can cause security concerns (recreating the same data across different regions is risky) and is a burden for 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.