How to Select a Data Sharing Tool

In these times of lower monetary investment for research and science data sharing provides researchers with the opportunity to collaborate and connect with colleagues to conduct new studies. This can also boost efficiency by allowing researchers to build upon the work of others rather than needing to replicate existing studies.

Data sharing tools can help unite teams around a shared vision, improve productivity and decision-making capacity, and help to encourage innovation and improvements in data quality across departments. This is why it’s essential to select a data sharing tool that can meet the speed, scale, and management requirements of your business.

In the past, in order to transfer data between different departments within an organization users have had manually slice and dice data they wish to share and then create copies of the data for customer use on their own. This could lead to security concerns (recreating a copy of the same dataset in multiple regions can be risky) and could be an administrative burden from a data management viewpoint.

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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