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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

Product type Paperback

Published in Jul 2021

Publisher Packt

ISBN-13 9781801077347

Length 428 pages

Edition 1st Edition

Languages

SQL

Tools

Azure

Concepts

Databases

Author (1):

Peter ter Braake

View More author details

Table of Contents (16) Chapters

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

Getting to know Cosmos DB

There are many different NoSQL databases. They all have their own special characteristics. Microsoft offers Azure Cosmos DB as their flagship NoSQL cloud database. Cosmos DB allows us to use different APIs to connect to Cosmos DB. This is to facilitate migration from different on-premises NoSQL databases to Azure. Before we go into other types of databases, we will discuss Cosmos DB's native type. Cosmos DB is a document database.

MongoDB is the best-known open source document database. One of the APIs that Cosmos DB supports is the MongoDB API. This means that applications can write code to Cosmos DB as if it were a MongoDB. However, be aware that Cosmos DB only mimics the API from MongoDB. It actually has a different logical structure underneath that you need to be aware of.

Cosmos DB also has a SQL API. This means that we can write SELECT statements to query Cosmos DB databases.

Document databases store data as JSON documents. Document databases...

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Authors (1)

Braake

Braake

Peter Ter Braake started working as a developer in 1996 after studying physics in Utrecht, the Netherlands. Databases and business intelligence piqued his interest the most, leading to him specializing in SQL Server and its business intelligence components. He has worked with Power BI from the tool's very beginnings. Peter started working as an independent contractor in 2008. This has enabled him to divide his time between teaching data-related classes, consulting with customers, and writing articles and books. Peter has also authored Data Modeling for Azure Data Services, Packt.

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