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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
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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

Summary

Our current society thrives on data. People sometimes say, "Data is the new gold." Even though most of the digital data we create is not stored in databases (think about movies, music, pictures…), databases play a crucial role in our information-driven world.

It is important to consider what you want to do with your data and what the nature of your data is. Choose the right system for the job, whether that is a NoSQL database or a relational database. Choose the proper modeling technique to set up your database.

In this chapter, you learned mostly about relational databases, although much of what has been covered applies to databases in general. A relational database is a database based on set theory, where data is stored as rows in tables. Rows should be unique in tables. We use a primary key to enforce uniqueness, and we use foreign keys to relate tables to one another.

The best way to design a database depends on its intended usage. We will cover this in detail in Chapter 3, Normalizing Data, and in Chapter 7, Dimensional Modeling.

The next chapter focuses on entity analysis. Entity analysis is about what to store and how to store it.

You have been reading a chapter from
Data Modeling for Azure Data Services
Published in: Jul 2021
Publisher: Packt
ISBN-13: 9781801077347
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