Building trust in data involves providing context and explanations to data consumers about the source, processing, and calculations used to generate the data. This transparency helps bridge the technical gap between data engineers and consumers, fostering trust. By automating the process of explaining data calculations and implementing governance or catalog solutions, organizations can empower data consumers to understand, trust, and use the data effectively.
Managing data and access to data is one of the biggest challenges that a company can face. It’s common for data to be siloed into independent sources that are difficult to access in a unified and integrated way.
One approach to solving this problem is to build a layer on top of the heterogenous data sources. This layer can serve as an interface for the data and provide governance and access control.
Cube is a semantic layer between the data source and data applications. Artyom Keydunov is the founder of Cube and he joins the show to talk about the approach Cube is taking.
This episode is hosted by Lee Atchison. Lee Atchison is a software architect, author, and thought leader on cloud computing and application modernization. His best-selling book, Architecting for Scale (O’Reilly Media), is an essential resource for technical teams looking to maintain high availability and manage risk in their cloud environments.
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