In a period of decreased funding for science and research data sharing could provide researchers with the opportunity to collaborate and connect with colleagues to conduct important new research. It can also improve efficiency by giving researchers to build upon the work of others instead of having them duplicate previous research.

Data sharing tools can be used to unite teams, improve efficiency and decision making, and encourage innovation across departments. It is important to choose a data-sharing tool that meets the speed, scale, and governance needs of your organization.

In the past users had to manually slice 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 in different regions is risky) and could be an inconvenience in terms of 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 collaboration of members Data Room 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.

Deja una respuesta

Tu dirección de correo electrónico no será publicada. Los campos obligatorios están marcados con *

58 + = 68