In an era of reduced investment in research and science, researchers can collaborate and connect with their colleagues to conduct new research. 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 be used to unite teams, improve productivity and decision-making and promote innovation across departments. This is why it’s crucial to choose the right data sharing tool that meets the speed, scale, and governance requirements of your organization.
Historically, to share data across various parts of an organization users had to manually cut and dice data they want to share, and then create customer-facing copies on their own. This could lead to security issues (recreating copies of the same dataset in multiple regions is 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.
