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Introduction

In the era of Big Data, organizations are faced with the challenge of effectively managing and governing distributed data across various systems and platforms. Traditional methods of centralized data governance have proven to be ineffective in this new landscape, leading to the emergence of Data Mesh Architecture as a potential solution. Data Mesh Architecture adopts a decentralized approach to data governance, enabling organizations to effectively manage and govern data across distributed systems.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Evolution of Data Governance
2.2 Centralized vs. Decentralized Data Governance
2.3 Data Mesh Architecture: Concept and Principles
2.4 Advantages and Disadvantages of Data Mesh Architecture
2.5 Implementation Challenges of Data Mesh Architecture
2.6 Case Studies on Data Mesh Architecture
2.7 Best Practices for Implementing Data Mesh Architecture
2.8 Future Trends in Data Mesh Architecture
2.9 Comparison of Data Mesh Architecture with other Data Governance Approaches
2.10 Conclusion

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Strategy
3.5 Research Ethics
3.6 Research Limitations
3.7 Data Validation
3.8 Tools and Technologies Used
3.9 Data Security Measures

Chapter 4: Discussion of Findings
4.1 Overview of Findings
4.2 Implementation Challenges
4.3 Best Practices Identified
4.4 Case Study Analysis
4.5 Comparison with Traditional Data Governance Approaches
4.6 Future Recommendations
4.7 Implications for Organizations
4.8 Suggestions for Further Research

Chapter 5: Conclusion and Summary
In conclusion, this thesis has explored the concept of Data Mesh Architecture for Distributed Data Governance and its potential implications for organizations. The literature review has highlighted the advantages and challenges of implementing Data Mesh Architecture, while the research methodology has outlined the approach taken in conducting this study. The discussion of findings has provided insights into the practical aspects of implementing Data Mesh Architecture, and the conclusion has summarized the key findings and recommendations for further research in this area. Overall, this thesis aims to contribute to the growing body of knowledge on Data Mesh Architecture and its role in modern data governance practices.

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