In a period of decreased monetary investment for science and research data sharing could provide researchers with the ability to connect and collaborate with other researchers to carry out important new studies. This can also improve efficiency by allowing researchers the chance to build upon the work of others, rather than having them replicate previous research.
Data sharing tools can be used to connect teams, increase efficiency and decision-making, and encourage innovation across departments. This is why it is so important to select a data sharing tool that supports the speed, scale and requirements for governance of your organization.
To transfer data between different parts of an organisation users have had manually cut and dice the datasets they want to share, and then create copies that are visible to customers on their own. This can pose security risks (recreating the same dataset in multiple locations can be risky) and could be an inconvenience 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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