Data Mesh The future of data architectureKEY FEATURESampnbspampnbsp Decentralize data with domainoriented design. Enhance scalability and data autonomy. Implement robust governance across domains.DESCRIPTIONampnbspData Mesh Principles patterns architecture and strategies for datadriven 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 domainspecific 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 wellimplemented 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 crossfunctional 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.ampnbspBy implementing the strategies discussed data professionals will strengthen their ability to safeguard sensitive information in a distributed environment making this book a vital resource for anyone involved in data management security or governance.WHAT YOU WILL LEARN Understand the evolution and need for Data Mesh architectures. Learn the core principles and design for Data Mesh implementations. Identify and apply Data Mesh architectural patterns and components. Implement effective Data Mesh governance frameworks. Develop and execute a strategic data cataloging plan. Create comprehensive datasharing strategies and security strategies wi