How to Select a Data Sharing Tool

In an era of reduced investment in science and research researchers are able to collaborate and connect with peers to carry out important research. This can also increase efficiency by allowing researchers to build upon the research of others without having to duplicate existing studies.

Data sharing tools can help unify teams around a common vision, improve productivity and decision-making, and foster improvement and innovation in data quality across departments. This is why it’s essential to select a data sharing tool that is compatible with the speed, scale and requirements for governance of your organization.

To share data across different parts of an organization users had to manually slice and dice data they wish to share, and then create customer-facing copies on their end. This can cause security concerns (recreating the same data in multiple regions can be risky) and is a burden in terms of data management.

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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