In the current climate of less investments in science and research, researchers can collaborate and connect with colleagues to carry out new research. This can also increase efficiency by giving researchers to build upon the work of others instead of having them duplicate existing research.
Data sharing tools can be used to connect teams, boost collect app iphone productivity and decision-making and promote innovation across departments. It is crucial to choose a tool for data sharing that is compatible with the speed, scale, and governance needs of your organization.
In the past the users had manually slice and dice data sets to share with different departments of an organization and then create copies for customers. This can create security issues (recreating duplicates of the same dataset across multiple regions could be risky) and may be an administrative burden from a management viewpoint.
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.