Inside-out or top-down? Those two options now dominate discussion in the data field, as analytic teams decide whether to embrace a data mesh, or a data fabric. The former is federated, focused on domains of data and a largely self-service approach; the latter leverages the traditional, centralized approach to data management, and a specific information architecture that requires strong organizational leadership. Register for this special edition of DMRadio to hear Host @eric_kavanagh interview Bruno Aziza of Google Cloud, along with Gavin Robertson of WhamTech, and a special guest. They'll discuss the key differences between these two approaches, as well as the technology components that are changing the game, including AI and machine learning, plus automation and augmentation.

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