How to Select a Data Sharing Tool
In the current climate of less investments in science and research, researchers can collaborate and connect with their colleagues to carry out new research. It can also improve efficiency by giving researchers the chance to build upon the work of others, instead of having them replicate existing research.
Data sharing tools can help to bring teams together around a common vision, increase efficiency and decision-making, and foster creativity and improvement in the quality of data across departments. This is why it’s crucial to choose the right tool for data sharing that meets the speed, scale, and management requirements of your business.
In the past, users had to manually slice and dice datasets to share with different departments of an organization and then create copies for customers. This can cause 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.