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Table of Contents

Chapter 1: Introduction
1.1 Background of the Study
1.2 Problem Statement
1.3 Research Questions
1.4 Objectives of the Study
1.5 Limitations of the Study
1.6 Scope of the Study

Chapter 2: Literature Review
2.1 Overview of Cloud Computing
2.2 Data Integration in Cloud Computing
2.3 Challenges and Solutions in Data Integration
2.4 Previous Studies on Cloud Computing for Data Integration

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling and Sampling Techniques

Chapter 4: Discussion of Findings
4.1 Analysis of Data Integration in Cloud Computing
4.2 Evaluation of Challenges and Solutions
4.3 Comparison of Previous Studies
4.4 Implications of Findings

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Recommendations for Future Research

Overview:

Cloud computing has become a popular technology for organizations to store, manage, and process data. Data integration in cloud computing allows for the seamless flow of data across different platforms and applications. This thesis focuses on exploring the challenges and solutions of data integration in cloud computing.

The introduction provides a background of the study, problem statement, research questions, objectives, limitations, and scope of the study. The literature review discusses cloud computing, data integration, challenges, and previous studies on the topic.

The research methodology details the design, data collection methods, analysis techniques, and sampling techniques. The discussion of findings analyzes data integration in cloud computing, challenges, solutions, and compares previous studies.

The conclusion and summary summarize the findings, draw conclusions, and provide recommendations for future research in the field of cloud computing for data integration.

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