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Managing Data as a Product. A comprehensive guide to designing and building data product-centered socio-technical architectures

Język publikacji: 1
Autor:
Andrea Gioia
Managing Data as a Product. A comprehensive guide to designing and building data product-centered socio-technical architectures Andrea Gioia - okladka książki

Managing Data as a Product. A comprehensive guide to designing and building data product-centered socio-technical architectures Andrea Gioia - okladka książki

Serie wydawnicze:
Hands-on
Ocena:
Stron:
300
Traditional monolithic data platforms struggle with scalability and burden central data teams with excessive cognitive load, leading to challenges in managing technological debt. As maintenance costs escalate, these platforms lose their ability to provide sustained value over time. Managing Data as a Product introduces a modular and distributed approach to data platform development, centered on the concept of data products.
In this book, you’ll explore the rationale behind this shift, understand the core features and structure of data products, and learn how to identify, develop, and operate them in a production environment. The book also guides you through the design and implementation of an incremental, value-driven strategy for adopting data product-centered architectures, including strategies for securing buy-in from stakeholders. Additionally, it explores data modeling in distributed environments, emphasizing its importance in fully leveraging modern generative AI solutions.
Upon completing the book, you’ll have gained a comprehensive understanding of product-centric data architecture and the necessary steps to begin adopting this modern approach to data management.

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O autorze książki

Andrea Gioia is a Partner and CTO at Quantyca, a consulting company specializing in data management. He is also a co-founder of blindata, a SaaS platform focused on data governance and compliance. With 20+ years of experience, he leads teams in executing complex data projects across sectors like banking, utilities, retail, and industry. As Quantyca's CTO, Andrea advises clients on data strategy, emphasizing organizational and change management issues. Actively engaged in the data community, he organizes the Data Engineering Italian Meetup, leads the Open Data Mesh Initiative, and is one of the main contributors to the data product descriptor open specification. Andrea is an active member of the scientific committee of the DAMA Italian Chapter.

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