Data Mesh: Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making
"Data Mesh: Principles, patterns, architecture, and strategies for data-driven decision making" introduces Data Mesh which is a macro data architecture pattern designed to harmonize governance with flexibility. This book guides readers through the nuances of Data Mesh topologies, explaining how they can be tailored to meet specific organizational needs while balancing central control with domain-specific autonomy. The book delves into the Data Mesh governance framework, which provides a structured approach to manage and control decentralized data assets effectively. It emphasizes the importance of a well-implemented governance structure that ensures data quality, compliance, and access control across various domains. Additionally, the book outlines robust data cataloging and sharing strategies, enabling organizations to improve data discoverability, usage, and interoperability between cross-functional teams. Securing Data Mesh architectures is another critical focus. The text explores comprehensive security strategies that protect data across different layers of the architecture, ensuring data integrity and protecting against breaches.
1145605576
Data Mesh: Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making
"Data Mesh: Principles, patterns, architecture, and strategies for data-driven decision making" introduces Data Mesh which is a macro data architecture pattern designed to harmonize governance with flexibility. This book guides readers through the nuances of Data Mesh topologies, explaining how they can be tailored to meet specific organizational needs while balancing central control with domain-specific autonomy. The book delves into the Data Mesh governance framework, which provides a structured approach to manage and control decentralized data assets effectively. It emphasizes the importance of a well-implemented governance structure that ensures data quality, compliance, and access control across various domains. Additionally, the book outlines robust data cataloging and sharing strategies, enabling organizations to improve data discoverability, usage, and interoperability between cross-functional teams. Securing Data Mesh architectures is another critical focus. The text explores comprehensive security strategies that protect data across different layers of the architecture, ensuring data integrity and protecting against breaches.
39.95 In Stock
Data Mesh: Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making

Data Mesh: Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making

by Pradeep Menon
Data Mesh: Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making

Data Mesh: Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making

by Pradeep Menon

Paperback

$39.95 
  • SHIP THIS ITEM
    In stock. Ships in 2-4 days.
  • PICK UP IN STORE

    Your local store may have stock of this item.

Related collections and offers


Overview

"Data Mesh: Principles, patterns, architecture, and strategies for data-driven decision making" introduces Data Mesh which is a macro data architecture pattern designed to harmonize governance with flexibility. This book guides readers through the nuances of Data Mesh topologies, explaining how they can be tailored to meet specific organizational needs while balancing central control with domain-specific autonomy. The book delves into the Data Mesh governance framework, which provides a structured approach to manage and control decentralized data assets effectively. It emphasizes the importance of a well-implemented governance structure that ensures data quality, compliance, and access control across various domains. Additionally, the book outlines robust data cataloging and sharing strategies, enabling organizations to improve data discoverability, usage, and interoperability between cross-functional teams. Securing Data Mesh architectures is another critical focus. The text explores comprehensive security strategies that protect data across different layers of the architecture, ensuring data integrity and protecting against breaches.

Product Details

ISBN-13: 9789355519962
Publisher: Bpb Publications
Publication date: 06/18/2024
Pages: 282
Product dimensions: 7.50(w) x 9.25(h) x 0.59(d)

About the Author

Pradeep Menon is an accomplished technology professional with over 20 years of extensive expertise in Data, AI, Analytics, and Cloud Computing. Currently serving as the CTO for Digital Natives in ASEAN at Microsoft, Pradeep is pivotal in spearheading the adoption and strategic implementation of Generative AI across the region.
From the B&N Reads Blog

Customer Reviews