In these times of less funding for science and research, researchers can collaborate and connect with colleagues to carry out new research. It can also improve efficiency by giving researchers to build on the work of others, instead of having them duplicate existing research.
Data sharing tools can be used to unite teams, increase efficiency and decision making, and promote innovation across departments. This is why it is vital to choose the right tool for data sharing that can meet the speed, scale, and management requirements of your business.
Historically, to share data across different parts of an organisation users have had manually slice and dice the datasets they want to share, and then create customer-facing copies on their end. This can create security concerns (recreating the same dataset across multiple locations can be risky) and is 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.