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Beschreibung
"An outstanding companion for any data professional seeking to deepen their expertise and grow in the field of Data Product Management." (Eduardo Juremeira, Data Engineering Manager, Adyen)

"This book is a valuable resource for data professionals, offering clear concepts and practical tools." (Luis Oliveira, Analytics Engineering Tech Manager, Nubank)

A practical guide to mastering data product management—bridging strategy, architecture, and execution for the AI era.

We have firmly entered the age of artificial intelligence (AI). Data, the backbone of this technology, is more crucial than ever. If the algorithm is the brain, data is the content that feeds it. This book argues that to succeed in this era, organizations should adopt a holistic approach to data—one that uses product management principles to inform how data is sourced, designed, managed, maintained, optimized, and leveraged.

This book is divided into two sections, moving from fundamentals to practical applications. In the first part, you’ll learn about the concepts that underlie product theory, the data architecture journey, and the essential knowledge needed to manage data products. The second part focuses on putting everything into practice, with particular attention to designing solutions, ongoing maintenance, and optimization.

Additionally, the book introduces the Golden Data Platform and the Data Product Management Canvas, important tools and frameworks coined by author Jessika Milhomem. These resources will help you begin transforming your organization’s data strategy, empowering you to stay ahead of the competition and thrive in the AI age.

What You Will Learn

Understand the fundamentals of data product management

Know what the Golden Data Platform is and how to use it

Reorient your data strategy with product management principles

Evaluate how to solve data architecture without bias by technology

Maintain and enhance Data Products once launched

Who This Book is for

Data leaders and managers responsible for designing and delivering data products, as well as product managers who want to collaborate more effectively with data teams. Analytics engineers, data engineers, data scientists, and machine learning engineers will find practical guidance for building impactful data solutions. Developers and data professionals aiming to move into leadership or product roles will also find valuable insights throughout.

"An outstanding companion for any data professional seeking to deepen their expertise and grow in the field of Data Product Management." (Eduardo Juremeira, Data Engineering Manager, Adyen)

"This book is a valuable resource for data professionals, offering clear concepts and practical tools." (Luis Oliveira, Analytics Engineering Tech Manager, Nubank)

A practical guide to mastering data product management—bridging strategy, architecture, and execution for the AI era.

We have firmly entered the age of artificial intelligence (AI). Data, the backbone of this technology, is more crucial than ever. If the algorithm is the brain, data is the content that feeds it. This book argues that to succeed in this era, organizations should adopt a holistic approach to data—one that uses product management principles to inform how data is sourced, designed, managed, maintained, optimized, and leveraged.

This book is divided into two sections, moving from fundamentals to practical applications. In the first part, you’ll learn about the concepts that underlie product theory, the data architecture journey, and the essential knowledge needed to manage data products. The second part focuses on putting everything into practice, with particular attention to designing solutions, ongoing maintenance, and optimization.

Additionally, the book introduces the Golden Data Platform and the Data Product Management Canvas, important tools and frameworks coined by author Jessika Milhomem. These resources will help you begin transforming your organization’s data strategy, empowering you to stay ahead of the competition and thrive in the AI age.

What You Will Learn

Understand the fundamentals of data product management

Know what the Golden Data Platform is and how to use it

Reorient your data strategy with product management principles

Evaluate how to solve data architecture without bias by technology

Maintain and enhance Data Products once launched

Who This Book is for

Data leaders and managers responsible for designing and delivering data products, as well as product managers who want to collaborate more effectively with data teams. Analytics engineers, data engineers, data scientists, and machine learning engineers will find practical guidance for building impactful data solutions. Developers and data professionals aiming to move into leadership or product roles will also find valuable insights throughout.

Über den Autor
Jessika Milhomem is a seasoned expert with over 18 years of experience in Data Product Management, Data Governance, Analytics, Data Engineering, and Machine Learning Engineering. She has led strategic initiatives across a wide range of industries—including digital banking (Nubank, PagSeguro), fashion, telecommunications, education, automotive, and consumer goods—delivering impactful, data-driven solutions.

Jessika holds a degree in Databases, a postgraduate specialization in Business Intelligence with an emphasis in Enterprise Performance Management from FIAP, and an MBA in Big Data Analytics from FIA. Her passion lies in bridging business needs with the power of data and collaborative team dynamics to drive innovation and long-term value.

As a leader, Jessika empowers teams to both consume and produce data products, championing a "data as a product" mindset that strengthens decision-making and fuels customer-centric innovation.

You can learn about her work at [...]
Inhaltsverzeichnis

Part I: Fundamentals for Data Product Management.- Chapter 1: Data Product Management Introduction.- Chapter 2: Data Analytical Architecture - Traditional Architecture.- Chapter 3 : Data Analytical Architecture - Big Data Architecture.- Chapter 4: Consolidating the Analytics Journey Knowledge.- Part II: Data Product Management in Practice.- Chapter 5: Golden Data Platform to Manage Data as a Product.- Chapter 6: Data Product Management.- Chapter 7: Designing the Product of Data - Understanding Phase.- Chapter 8: Designing the Product of Data - Exploring Phase.- Chapter 9: Designing the Data Product - Materializing Phase.- Chapter 10: Ownership process - Recurrent Cycle - Ongoing.

Details
Erscheinungsjahr: 2025
Fachbereich: Allgemeines
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Inhalt: xxiv
377 S.
3 s/w Illustr.
40 farbige Illustr.
377 p. 43 illus.
40 illus. in color.
ISBN-13: 9798868813146
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Milhomem, Jessika
Auflage: First Edition
Hersteller: Apress
Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com
Maße: 235 x 155 x 22 mm
Von/Mit: Jessika Milhomem
Erscheinungsdatum: 27.08.2025
Gewicht: 0,61 kg
Artikel-ID: 133904018