How to Select a Data Sharing Tool

In a period of decreased expenditure on science and research data sharing could provide researchers with the opportunity to collaborate and connect with other researchers to carry out important new research. This can also boost efficiency by giving researchers the opportunity to build upon the work of others instead having to duplicate existing studies.

Data sharing tools can to bring teams together around a common vision, boost productivity and decision-making capacity, as well as encourage innovations and improvements in data quality across departments. This is why it is essential to select a data sharing tool that supports the speed, scale and the governance needs of your company.

In the past users had to manually slice up and dice datasets to share with different parts of an organisation and then create copies for customers. This can create security concerns (recreating the same dataset across several regions could be risky) and is a burden for 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 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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