Werezi Books

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 strategies
Understand the fundamentals of data product management
Know the differences between Data Product and Data as a Product
Know what the Golden Data Platform is and how to use it
Know what Data Product Management Canvas is and ow to use it
Reorient your data strategy with product management principles
Understand the concepts of products and data architecture evolution in relation to your leadership
Evaluate how to solve data architecture without bias by technology
Design 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

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.

Get Data Product Management in the AI Age by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG and it has pages.

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

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