How to Select a Data Sharing Tool

In these times of lower expenditure on research and science, data sharing can provide researchers with the opportunity to collaborate and connect with peers to perform important new studies. It can also improve efficiency by giving researchers to build on the work of others, instead of having them replicate previous research.

Data sharing tools can help unify teams around a common vision, boost productivity and decision-making, and help to encourage innovations and improvements in data quality across departments. It is important to choose an application that can meet the speed and scale as well as the management requirements of your business.

In the past, to share data across different parts of an organization users have had to manually slice and dice the datasets they want to share and then create copies that are visible to customers on their end. This can pose security risks (recreating the same dataset in multiple locations can be risky) and can be an issue in terms of the management of 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 page 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.