In a time of reduced budgets for science and research data sharing can provide researchers with the opportunity to collaborate and connect with peers to perform important new research. This can also boost efficiency by permitting researchers to build on the research of others without having to duplicate existing studies.
Data sharing tools can help unify teams around a common vision, boost efficiency and decision-making, and help to encourage improvement and innovation in data apkdownload-free.com/ quality across departments. It is crucial to select an application that can meet the speed and scale as well as the requirements of your company’s governance.
In the past users were required to manually slice and dice data sets to share with different parts of an organisation, and then create copies for customers. This can create security concerns (recreating an identical copy of the same dataset across multiple locations can be risky) and could be an administrative burden from a management perspective.
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.