How to Select a Data Sharing Tool

In the current climate of less investment in science and research researchers are able to join forces with their colleagues to carry out new research. This can also improve efficiency by permitting researchers to build on the research of others without having to duplicate existing studies.

Data sharing tools can to bring teams together around a common vision, improve productivity and decision-making, and help to encourage innovation and improvements in data quality across departments. This is why it is crucial to choose the right data sharing tool that is compatible with the speed, scale and requirements for governance of your organization.

In the past, users had to manually slice 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 dataset in multiple regions can be risky) and also create an administrative burden from a management viewpoint.

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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