Data Mesh in Action

Revolutionize the way your organization approaches data with a data mesh! This new decentralized architecture outpaces monolithic lakes and warehouses and can work for a company of any size.

In Data Mesh in Action you will learn how to:

Implement a data mesh in your organization
Turn data into a data product
Move from your current data architecture to a data mesh
Identify data domains, and decompose an organization into smaller, manageable domains
Set up the central governance and local governance levels over data
Balance responsibilities between the two levels of governance
Establish a platform that allows efficient connection of distributed data products and automated governance

Data Mesh in Action reveals how this groundbreaking architecture looks for both small startups and large enterprises. You wont need any new technologythis book shows you how to start implementing a data mesh with flexible processes and organizational change. Youll explore both an extended case study and multiple real-world examples. As you go, youll be expertly guided through discussions around Socio-Technical Architecture and Domain-Driven Design with the goal of building a sleek data-as-a-product system. Plus, dozens of workshop techniques for both in-person and remote meetings help you onboard colleagues and drive a successful transition.

Foreword by Jean-Georges Perrin.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the technology
Business increasingly relies on efficiently storing and accessing large volumes of data. The data mesh is a new way to decentralize data management that radically improves security and discoverability. A well-designed data mesh simplifies self-service data consumption and reduces the bottlenecks created by monolithic data architectures.

About the book
Data Mesh in Action teaches you pragmatic ways to decentralize your data and organize it into an effective data mesh. Youll start by building a minimum viable data product, which youll expand into a self-service data platform, chapter-by-chapter. Youll love the books unique sliders that adjust the mesh to meet your specific needs. Youll also learn processes and leadership techniques that will change the way you and your colleagues think about data.

What\'s inside

Decompose an organization into manageable domains
Turn data into a data product
Set up central and local governance levels
Build a fit-for-purpose data platform
Improve management, initiation, and support techniques

About the reader
For data professionals. Requires no specific programming stack or data platform.

About the author
Jacek Majchrzak is a hands-on lead data architect. Dr. Sven Balnojan manages data products and teams. Dr. Marian Siwiak is a data scientist and a management consultant for IT, scientific, and technical projects.

Table of Contents

PART 1 FOUNDATIONS
1 The what and why of the data mesh
2 Is a data mesh right for you?
3 Kickstart your data mesh MVP in a month
PART 2 THE FOUR PRINCIPLES IN PRACTICE
4 Domain ownership
5 Data as a product
6 Federated computational governance
7 The self-serve data platform
PART 3 INFRASTRUCTURE AND TECHNICAL ARCHITECTURE
8 Comparing self-serve data platforms
9 Solution architecture design

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ISBN-10

1633439976

ISBN-13

978-1633439979

Publisher

Manning

Price

62.25

File Type

PDF

Page No.

328

Marian Siwiak

Born in 1980, Poland. The uglier incarnation of Michael Slackenerny, completed a doctoral ultramarat ...

About the Author

Jacek Majchrzak is a hands-on lead architect in the area of drug discovery where he implements the data mesh idea. Jacek is a workshop facilitator with a strong focus on domain-driven design, software architecture and socio-technical systems design.

Dr. Sven Balnojan manages data products and teams by day. At night, he has a passion for diving deep into technology and data-related topics in his opinionated in-depth newsletter, as well as his blog and various essays.

Dr. Marian Siwiak is a data scientist with a track record of using data knowledge and managerial experience to successfully deliver multimillion IT, scientific and technical projects covering various areas, from life sciences to robotics.

Data Mesh in Action

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Marian Siwiak

Manning

Marian Siwiak

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