Implementing Data Mesh : Design, Build, and Implement Data Contracts, Data Products, and Data Mesh
Language: English
Published by O'reilly Media Okt 2024, 2024
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
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Add to basketItem description from seller
Neuware - As data continues to grow and become more complex, organizations seek innovative solutions to manage their data effectively. Data mesh is one solution that provides a new approach to managing data in complex organizations. This practical guide offers step-by-step guidance on how to implement data mesh in your organization. In this book, Jean-Georges Perrin and Eric Broda focus on the key components of data mesh and provide practical advice supported by code. Data engineers, architects, and analysts will explore a simple and intuitive process for identifying key data mesh components and data products. You'll learn a consistent set of interfaces and access methods that make data products easy to consume. This approach ensures that your data products are easily accessible and the data mesh ecosystem is easy to navigate. This book helps you: - Identify, define, and build data products that interoperate within an enterprise data mesh - Build a data mesh fabric that binds data products together - Build and deploy data products in a data mesh - Establish the organizational structure to operate data products, data platforms, and data fabric - Learn an innovative architecture that brings data products and data fabric together into the data mesh About the authors: Jean-Georges 'JG' Perrin is a technology leader focusing on building innovative and modern data platforms. Eric Broda is a technology executive, practitioner, and founder of a boutique consulting firm that helps global enterprises realize value from data.…
Seller Inventory # 9781098156220
- Title
- Implementing Data Mesh : Design, Build, and Implement Data Contracts, Data Products, and Data Mesh
- Author
- Jean-Georges Perrin
- Publisher
- O'reilly Media Okt 2024
- Publication year
- 2024
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1098156226
- ISBN 13
- 9781098156220
- Item weight
- 430 grams
- Dimensions
- 232x175x16 mm
As data continues to grow and become more complex, organizations seek innovative solutions to manage their data effectively. Data mesh is one solution that provides a new approach to managing data in complex organizations. This practical guide offers step-by-step guidance on how to implement data mesh in your organization.
In this book, Jean-Georges Perrin and Eric Broda focus on the key components of data mesh and provide practical advice supported by code. Data engineers, architects, and analysts will explore a simple and intuitive process for identifying key data mesh components and data products. You'll learn a consistent set of interfaces and access methods that make data products easy to consume.
This approach ensures that your data products are easily accessible and the data mesh ecosystem is easy to navigate. This book helps you:
- Identify, define, and build data products that interoperate within an enterprise data mesh
- Build a data mesh fabric that binds data products together
- Build and deploy data products in a data mesh
- Establish the organizational structure to operate data products, data platforms, and data fabric
- Learn an innovative architecture that brings data products and data fabric together into the data mesh
About the authors:
Jean-Georges "JG" Perrin is a technology leader focusing on building innovative and modern data platforms.
Eric Broda is a technology executive, practitioner, and founder of a boutique consulting firm that helps global enterprises realize value from data.
"Synopsis" may belong to another edition of this title.
About the Author
Jean-Georges "JG" Perrin is a technology leader focusing on building innovative and modern data platforms.
Eric Broda is a technology executive, practitioner, and founder of a boutique consulting firm that helps global enterprises realize value from data.
"About the title" may belong to another edition of this title.
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