How to Select a Data Sharing Tool

In the current climate of less investments in science and research researchers are try here able to collaborate and connect with their peers to perform new important studies. This can also increase efficiency by permitting researchers to build on the work of others rather than having to replicate already existing studies.

Data sharing tools can be used to connect teams, increase productivity and decision-making and encourage innovation across departments. This is why it is vital to choose the right data sharing tool that meets the speed, scale and requirements for governance of your organization.

Historically, to share data between different parts of an organisation, users have had to manually cut and dice datasets they wish to share and then create copies of the data for customer use at their own expense. This could lead to security concerns (recreating an identical copy of the same dataset in multiple regions can be risky) and can be an administrative burden from a data management view.

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.