In the current climate of less investment in research and science, researchers can collaborate and connect with their colleagues to carry out new research. 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 connect teams, boost efficiency and decision-making, and foster innovation across departments. It is essential to choose a tool for data sharing that is compatible with the speed, scale, and governance requirements of your company.
In the past, in order to transfer data between different parts of an organization users had to manually slice and dice data they want to share, and then create copies that are visible to customers on their end. This can create security concerns (recreating the same data across multiple locations can be risky) and is an issue in terms of 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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