How to Select a Data Sharing Tool
In a time of reduced monetary investment for science and research, data sharing can provide researchers with the opportunity to connect and collaborate with peers to perform important new studies. It can also improve 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 unite teams, improve efficiency and decision-making, and promote innovation across departments. This is why it’s essential to select a data sharing tool that is compatible with the speed, scale, and management requirements of your business.
In the past users were required manually slice and dice datasets to share with different departments within an organization and then create copies for customers. This can create security concerns (recreating the same data across multiple locations can be risky), and can be an issue in terms of data management.
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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