Data Mesh in Action
eBook - ePub

Data Mesh in Action

  1. 328 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

About this book

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 won't need any new technology—this book shows you how to start implementing a data mesh with flexible processes and organizational change. You'll explore both an extended case study and multiple real-world examples. As you go, you'll 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. 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. You'll start by building a minimum viable data product, which you'll expand into a self-service data platform, chapter-by-chapter. You'll love the book's unique "sliders" that adjust the mesh to meet your specific needs. You'll 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 techniquesAbout 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 ContentsPART 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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Yes, you can access Data Mesh in Action by Jacek Majchrzak, Sven Balnojan, Marian Siwiak in PDF and/or ePUB format, as well as other popular books in Computer Science & Cloud Computing. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. inside front cover
  2. Data Mesh in Action
  3. Copyright
  4. brief contents
  5. contents
  6. front matter
  7. Part 1. Foundations
  8. 1 The what and why of the data mesh
  9. 2 Is a data mesh right for you?
  10. 3 Kickstart your data mesh MVP in a month
  11. Part 2. The four principles in practice
  12. 4 Domain ownership
  13. 5 Data as a product
  14. 6 Federated computational governance
  15. 7 The self-serve data platform
  16. Part 3. Infrastructure and technical architecture
  17. 8 Comparing self-serve data platforms
  18. 9 Solution architecture design
  19. Appendix A.
  20. Appendix B.
  21. Appendix C.
  22. Appendix D.
  23. index
  24. inside back cover