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Opening Credits
1/16/2026
I Introduction
1/16/2026
II Understanding data modeling
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III Designing databases
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IV Data warehouse design
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V Big data modeling
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VI Data modeling best practices
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VII Conclusion
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Opening credits
1/16/2026
Chapter 1 introduction
1/16/2026
Chapter 2 data cleaning
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Chapter 3 data transformation
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Chapter 4 data integration
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Chapter 5 data reduction
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Chapter 6 data discretization
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Chapter 7 data preprocessing for specific applications
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Chapter 8 tools and techniques for data preprocessing
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Chapter 9 best practices and future
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Chapter 10 case studies
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Appendix Resources and references
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Glossary Key terms and definitions
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II Fundamentals of data warehousing
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III Designing a data warehouse
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IV Data integration and etl (extract,
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V Data warehousing tools and
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VI Business intelligence and data mining
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VII Big data and data warehousing
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VIII Data warehousing and cloud
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IX Data warehousing best practices and case studies
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X Future of data warehousing
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XI Conclusion
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Ending Credits
1/16/2026