How to Select a Data Sharing Tool

In the current climate of less funding for science and research researchers can collaborate and connect with their peers to perform new important studies. This can also increase efficiency by giving researchers the chance to build on the work of others rather than having them replicate existing research.

Data sharing tools can bring teams together around a common vision, increase productivity and decision-making, as well as encourage creativity and improvement in the quality of data across departments. This is why it’s so important to select the right tool for data sharing that can meet the speed, scale and management requirements of your business.

In the past the users had to manually slice up and dice datasets to share with different departments within an organization and then create copies for customers. This can result in security concerns (recreating copies of the same dataset in multiple regions is risky) and could be an administrative burden from a data management standpoint.

The Databricks Delta Sharing platform enables users to create a single, dynamic view of their most critical, real-time data. The shared data Visit Website 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.