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Table of Contents:

Chapter 1: Introduction
1.1 Background of the Study
1.2 Statement of the Problem
1.3 Purpose of the Study
1.4 Objectives of the Study
1.5 Significance of the Study
1.6 Limitations of the Study
1.7 Scope of the Study

Chapter 2: Literature Review
2.1 Introduction to Cloud Computing
2.2 Data Warehousing in the Cloud
2.3 Benefits of Cloud Computing for Data Warehousing
2.4 Challenges of Cloud Computing for Data Warehousing
2.5 Current Trends in Cloud Computing for Data Warehousing

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Strategy
3.5 Ethical Considerations

Chapter 4: Discussion of Findings
4.1 Data Warehousing in the Cloud
4.2 Implementation of Cloud Computing for Data Warehousing
4.3 Case Studies on Cloud Computing for Data Warehousing
4.4 Comparison of Cloud Computing Solutions for Data Warehousing

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusions
5.3 Recommendations for Future Research
5.4 Practical Implications of the Study

Brief Overview:
Cloud computing has revolutionized the way data warehousing is done by providing a scalable, flexible, and cost-effective solution for storing and analyzing large volumes of data. This thesis explores the benefits and challenges of implementing cloud computing for data warehousing, as well as current trends in the field. The research methodology includes a literature review, data collection methods, and data analysis techniques. The findings discuss the implementation of cloud computing for data warehousing, case studies, and comparisons of different cloud computing solutions. The conclusion summarizes the findings, provides recommendations for future research, and discusses the practical implications of the study.

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