Name: Data Product Management in the AI Age. Design and Manage Your Data Strategy to Get Ahead
Price: 108604.00 COP
Availability: InStock
Author: Jessika Milhomem
ISBN: 9798868813146

portada Data Product Management in the AI Age. Design and Manage Your Data Strategy to Get Ahead

Data Product Management in the AI Age. Design and Manage Your Data Strategy to Get Ahead

Formato

Libro Físico

Editorial

APress

Autor

Jessika Milhomem

Año

2025

N° páginas

377

Encuadernación

Tapa Blanda

Dimensiones

23.50 x 15.50 cm

ISBN13

9798868813146

Data Product Management in the AI Age. Design and Manage Your Data Strategy to Get Ahead

Jessika Milhomem (Autor) · APress · Tapa Blanda

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Reseña del libro "Data Product Management in the AI Age. Design and Manage Your Data Strategy to Get Ahead"

We have firmly entered the artificial intelligence (AI) age,. 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 dataone that uses product management principles to inform how data is sourced and designed, managed and maintained, optimized and leveraged.

This book moves in two sections from the fundamentals to practical applications. In the first part, youll learn about the concepts that underlie product theory, the data architecture journey, and the necessary knowledge to manage products of data. The second part teaches you to put everything into practice, paying particular attention to the designing of solutions to ongoing maintenance and optimization. By the end of the book, you will have tools to begin transforming your organizations data strategy and approach to getand stayahead of the competition.

What You Will Learn

Know the evolution of data architecture and strategiesUnderstand the fundamentals of data product managementKnow the differences between Data Product and Data as a ProductKnow what the Golden Data Platform is and how to use itKnow what Data Product Management Canvas is and ow to use itReorient your data strategy with product management principlesUnderstand the concepts of products and data architecture evolution in relation to your leadershipEvaluate how to solve data architecture without bias by technologyDesign and implement Data as a Product during a project and ongoing

Who This Is Book Is For

Data leaders or managers who design and implement data products; product managers interested in working with data; analytics engineers, data engineers, data scientists and/or machine learning engineers implementing data solutions; data-related professionals and developers aspiring to data leadership and product management

“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 LearnExplore the evolution of data architecture and strategiesUnderstand the fundamentals of data product managementDifferentiate between Data Product and Data as a ProductKnow what the Golden Data Platform is and how to use itUtilize the Data Product Management Canvas effectivelyReorient your data strategy with product management principlesExamine the concepts of products and data architecture evolution in relation to leadershipEvaluate how to solve data architecture without bias by technologyDesign and implement Data as a Product and Data Products through a project Maintain and enhance Data Products once launchedWho This Book is forData 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.