In these times of less investments in science and research researchers can collaborate and connect with their peers to perform new important studies. This can also increase efficiency by making it possible for researchers to build upon the research of others without having to replicate previously published studies.
Data sharing tools can to bring teams together around a common vision, increase productivity and decision-making, as well as encourage improvement and innovation in data quality across departments. It is crucial to choose the right tool for data sharing that will meet the speed, scale, and governance requirements of your company.
In the past, in order to share data across different parts of an organisation, users have had to manually slice and dice the data they wish to share and then create copies of the data for customer use on their own. This can create security concerns (recreating the same data across multiple regions can be risky) and can be an inconvenience in terms of managing 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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