Managing Data as a Product: Design and build data-product-centered socio-technical architectures
Learn everything you need to know to manage data as a product and shift toward a more modular and decentralized socio-technical data architecture to deliver business value in an incremental, measurable, and sustainable way

  • Leverage data-as-product to unlock the modular platform potential and fix flaws in traditional monolithic architectures
  • Learn how to identify, implement, and operate data products throughout their life cycle
  • Design and execute a forward-thinking strategy to turn your data products into organizational assets
  • Purchase of the print or Kindle book includes a free PDF eBook

What you will learn

  • Overcome the challenges in scaling monolithic data platforms, including cognitive load, tech debt, and maintenance costs
  • Discover the benefits of adopting a data-as-a-product approach for scalability and sustainability
  • Navigate the complete data product lifecycle, from inception to decommissioning
  • Automate data product lifecycle management using a self-serve platform
  • Implement an incremental, value-driven strategy for transitioning to data-product-centric architectures
  • Optimize data modeling in distributed environments to enhance GenAI-based use cases

If you’re an experienced data engineer, data leader, architect, or practitioner committed to reimagining your data architecture and designing one that enables your organization to get the most value from your data in a sustainable and scalable way, this book is for you. Whether you’re a staff engineer, product manager, or a software engineering leader or executive, you’ll find this book useful. Familiarity with basic data engineering principles and practices is assumed.

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Managing Data as a Product: Design and build data-product-centered socio-technical architectures
Learn everything you need to know to manage data as a product and shift toward a more modular and decentralized socio-technical data architecture to deliver business value in an incremental, measurable, and sustainable way

  • Leverage data-as-product to unlock the modular platform potential and fix flaws in traditional monolithic architectures
  • Learn how to identify, implement, and operate data products throughout their life cycle
  • Design and execute a forward-thinking strategy to turn your data products into organizational assets
  • Purchase of the print or Kindle book includes a free PDF eBook

What you will learn

  • Overcome the challenges in scaling monolithic data platforms, including cognitive load, tech debt, and maintenance costs
  • Discover the benefits of adopting a data-as-a-product approach for scalability and sustainability
  • Navigate the complete data product lifecycle, from inception to decommissioning
  • Automate data product lifecycle management using a self-serve platform
  • Implement an incremental, value-driven strategy for transitioning to data-product-centric architectures
  • Optimize data modeling in distributed environments to enhance GenAI-based use cases

If you’re an experienced data engineer, data leader, architect, or practitioner committed to reimagining your data architecture and designing one that enables your organization to get the most value from your data in a sustainable and scalable way, this book is for you. Whether you’re a staff engineer, product manager, or a software engineering leader or executive, you’ll find this book useful. Familiarity with basic data engineering principles and practices is assumed.

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Managing Data as a Product: Design and build data-product-centered socio-technical architectures

Managing Data as a Product: Design and build data-product-centered socio-technical architectures

Managing Data as a Product: Design and build data-product-centered socio-technical architectures

Managing Data as a Product: Design and build data-product-centered socio-technical architectures

Overview

Learn everything you need to know to manage data as a product and shift toward a more modular and decentralized socio-technical data architecture to deliver business value in an incremental, measurable, and sustainable way

  • Leverage data-as-product to unlock the modular platform potential and fix flaws in traditional monolithic architectures
  • Learn how to identify, implement, and operate data products throughout their life cycle
  • Design and execute a forward-thinking strategy to turn your data products into organizational assets
  • Purchase of the print or Kindle book includes a free PDF eBook

What you will learn

  • Overcome the challenges in scaling monolithic data platforms, including cognitive load, tech debt, and maintenance costs
  • Discover the benefits of adopting a data-as-a-product approach for scalability and sustainability
  • Navigate the complete data product lifecycle, from inception to decommissioning
  • Automate data product lifecycle management using a self-serve platform
  • Implement an incremental, value-driven strategy for transitioning to data-product-centric architectures
  • Optimize data modeling in distributed environments to enhance GenAI-based use cases

If you’re an experienced data engineer, data leader, architect, or practitioner committed to reimagining your data architecture and designing one that enables your organization to get the most value from your data in a sustainable and scalable way, this book is for you. Whether you’re a staff engineer, product manager, or a software engineering leader or executive, you’ll find this book useful. Familiarity with basic data engineering principles and practices is assumed.

Product Details

ISBN-13: 9781835468531
Publisher: Packt Publishing
Publication date: 11/29/2024
Pages: 368
Product dimensions: 7.50(w) x 9.25(h) x 0.76(d)

About the Author

Andrea Gioia is a partner and CTO at Quantyca, a consulting firm specializing in data management, and co-founder of blindata.io, a SaaS platform for data governance and compliance. With over 20 years of experience, Andrea has led cross-functional teams delivering complex data projects across multiple industries. As CTO, he advises clients on defining and executing their data strategies. Andrea is a frequent speaker and writer, serving as the main organizer of the Data Engineering Italian Meetup and leading the Open Data Mesh Initiative. He is an active DAMA member and has been part of the DAMA Italy Chapter's scientific committee since 2023.

Table of Contents

  1. From Data as a Byproduct to Data as a Product
  2. Data Products
  3. Data Product-Centered Architectures
  4. Identifying Data Products and Prioritizing Developments
  5. Designing and Implementing Data Products
  6. Operating Data Products in Production
  7. Automating Data Product Lifecycle Management
  8. Moving through the Adoption Journey
  9. Team Topologies and Data Ownership at Scale
  10. Distributed Data Modeling
  11. Building an AI-Ready Information Architecture
  12. Bringing It All Together
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