How to Select a Data Sharing Tool

In an era of reduced investment in science and research, researchers can collaborate and connect with peers to carry out important research. This can also improve efficiency by giving researchers to build on the work of others instead of having them replicate previous studies.

Data sharing tools can be used to bring together teams, boost productivity and decision making, and encourage innovation across departments. It is essential to choose an application that can meet the speed, scale, and governance needs of your organization.

In the past 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 lead to security concerns (recreating duplicates of the same data across multiple locations can be risky) and can be an administrative burden from a management perspective.

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.

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