In a period of decreased monetary investment for research and science data sharing provides researchers with the opportunity to collaborate and connect with peers to perform important new studies. This can also boost efficiency by giving researchers the chance to build upon the work of others rather than having them replicate existing studies.
Data sharing tools can help unify teams around a common vision, improve efficiency and decision-making capabilities, and help to encourage innovations and improvements in data quality across departments. It is essential to choose an application that can meet the speed and scale as well as the governance needs of your organization.
In the past users had to manually slice up and dice data sets to share with different departments within an organization, and then create copies for customers. This could lead to security issues (recreating duplicates of the same dataset across multiple regions could be risky) and can be an administrative burden from a 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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