Andrea Gioia explores the increasingly influential “data as a product” philosophy, covering both the technical architecture and the organizational structures needed to make it work in practice. Managing Data as a Product treats data systems as genuinely socio-technical, not purely technical, challenges.
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In StockThe idea of treating data as a product — with clear ownership, quality standards, and a genuine user experience, much like a software product — has gained real traction in data engineering circles, and Managing Data as a Product is one of the more thorough treatments of what that actually means in practice. Andrea Gioia covers the technical side of this shift, including how to design data architectures that support product-like data delivery, but spends equal attention on the organizational and cultural dimensions, recognizing that data product thinking ultimately depends on how teams are structured and how ownership is distributed across an organization, not just on technical design choices. That “socio-technical” framing is central to the book’s value: data architecture problems are rarely purely technical, and Gioia treats the human and organizational side with the same seriousness as the engineering side. At 368 pages, the book develops these ideas with real depth, drawing connections between data architecture patterns and the team structures that need to support them. For data engineers, architects, and leaders thinking seriously about how to scale data practices across an organization, this offers a genuinely modern and practical framework.
Author:
Andrea Gioia
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