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Data Modeling for Azure Data Services

You're reading from   Data Modeling for Azure Data Services Implement professional data design and structures in Azure

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801077347
Length 428 pages
Edition 1st Edition
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Author (1):
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Peter ter Braake Peter ter Braake
Author Profile Icon Peter ter Braake
Peter ter Braake
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Table of Contents (16) Chapters Close

Preface 1. Section 1 – Operational/OLTP Databases
2. Chapter 1: Introduction to Databases FREE CHAPTER 3. Chapter 2: Entity Analysis 4. Chapter 3: Normalizing Data 5. Chapter 4: Provisioning and Implementing an Azure SQL DB 6. Chapter 5: Designing a NoSQL Database 7. Chapter 6: Provisioning and Implementing an Azure Cosmos DB Database 8. Section 2 – Analytics with a Data Lake and Data Warehouse
9. Chapter 7: Dimensional Modeling 10. Chapter 8: Provisioning and Implementing an Azure Synapse SQL Pool 11. Chapter 9: Data Vault Modeling 12. Chapter 10: Designing and Implementing a Data Lake Using Azure Storage 13. Section 3 – ETL with Azure Data Factory
14. Chapter 11: Implementing ETL Using Azure Data Factory 15. Other Books You May Enjoy

Using a Kimball data warehouse versus data marts

The starting point of creating a star schema is choosing a process to model. One star model describes one process. A business is always more than a single process. In the theory of Ralph Kimball, a data warehouse is the collection of all star schemas that together describe the entire organization.

There will always be overlap between the individual star schemas you create to model the individual processes. The processes are not completely independent of each other. The sales department sells products that the purchasing department buys. They work with the same products. So, the star schema describing the sales process will have the dimProduct and dimDate dimensions in common with the star for purchasing. They will have different dimensions as well. The star schema for purchasing might have a dimension for suppliers, whereas the sales start schema probably has a dimension for customers.

When you design the dimProduct dimension table...

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