Step by step, students will learn how to transform simple tables into full analytical models of immense power. They will master data modeling through a collection of realistic scenarios of increasing sophistication. For each, the authors start with a simple "naïve" model that can't provide robust solutions. Next, they guide readers to update and improve the model, so it can deliver the knowledge and insights they really need.
Step by step, students will learn how to transform simple tables into full analytical models of immense power. They will master data modeling through a collection of realistic scenarios of increasing sophistication. For each, the authors start with a simple "naïve" model that can't provide robust solutions. Next, they guide readers to update and improve the model, so it can deliver the knowledge and insights they really need.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Alberto Ferrari and Marco Russo are the founders of sqlbi.com, where they regularly publish articles about Microsoft Power Pivot, Power BI, DAX, and SQL Server Analysis Services. Both Ferrari and Russo provide consultancy and mentoring on business intelligence (BI). They are also frequent speakers at major international conferences, including Microsoft Ignite, PASS Summit, and SQLBits.
Inhaltsangabe
CHAPTER 1 Introduction to data modeling CHAPTER 2 Using header/detail tables CHAPTER 3 Using multiple fact tables CHAPTER 4 Working with date and time CHAPTER 5 Tracking historical attributes CHAPTER 6 Using snapshots CHAPTER 7 Analyzing date and time intervals CHAPTER 8 Many-to-many relationships CHAPTER 9 Working with different granularity CHAPTER 10 Segmentation data models CHAPTER 11 Working with multiple currencies APPENDIX A Data modeling 101
CHAPTER 1 Introduction to data modeling CHAPTER 2 Using header/detail tables CHAPTER 3 Using multiple fact tables CHAPTER 4 Working with date and time CHAPTER 5 Tracking historical attributes CHAPTER 6 Using snapshots CHAPTER 7 Analyzing date and time intervals CHAPTER 8 Many-to-many relationships CHAPTER 9 Working with different granularity CHAPTER 10 Segmentation data models CHAPTER 11 Working with multiple currencies APPENDIX A Data modeling 101
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