Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Data Modeling for Azure Data Services

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

Arrow left icon
Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801077347
Length 428 pages
Edition 1st Edition
Languages
Tools
Concepts
Arrow right icon
Author (1):
Arrow left icon
Peter ter Braake Peter ter Braake
Author Profile Icon Peter ter Braake
Peter ter Braake
Arrow right icon
View More author details
Toc

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

Chapter 9: Data Vault Modeling

In Chapter 7, Dimensional Modeling, you learned how to create a star schema database. In Chapter 8, Provisioning and Implementing an Azure Synapse SQL Pool, you implemented a star schema. The goal was to optimize the database for analysis and reporting.

Demands and regulations change over time, meaning that the way we use data also changes over time. These changes the way we use data for us to implement changes in the star schema designs we create. To create a stable data platform, we implement a layer in between the operational databases that we learned about in chapters 3 to 6, and the dimensionally modeled databases that we learned about in Chapter 7, Dimensional Modeling, and Chapter 8, Provisioning and Implementing an Azure Synapse SQL Pool. This layer should be optimized for the long-term, flexible storage of historical data. When data here means relational data, creating a data vault data warehouse is a good option. That is what this chapter...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image