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Cloud Scale Analytics with Azure Data Services

You're reading from   Cloud Scale Analytics with Azure Data Services Build modern data warehouses on Microsoft Azure

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781800562936
Length 520 pages
Edition 1st Edition
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Author (1):
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Patrik Borosch Patrik Borosch
Author Profile Icon Patrik Borosch
Patrik Borosch
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Table of Contents (20) Chapters Close

Preface 1. Section 1: Data Warehousing and Considerations Regarding Cloud Computing
2. Chapter 1: Balancing the Benefits of Data Lakes Over Data Warehouses FREE CHAPTER 3. Chapter 2: Connecting Requirements and Technology 4. Section 2: The Storage Layer
5. Chapter 3: Understanding the Data Lake Storage Layer 6. Chapter 4: Understanding Synapse SQL Pools and SQL Options 7. Section 3: Cloud-Scale Data Integration and Data Transformation
8. Chapter 5: Integrating Data into Your Modern Data Warehouse 9. Chapter 6: Using Synapse Spark Pools 10. Chapter 7: Using Databricks Spark Clusters 11. Chapter 8: Streaming Data into Your MDWH 12. Chapter 9: Integrating Azure Cognitive Services and Machine Learning 13. Chapter 10: Loading the Presentation Layer 14. Section 4: Data Presentation, Dashboarding, and Distribution
15. Chapter 11: Developing and Maintaining the Presentation Layer 16. Chapter 12: Distributing Data 17. Chapter 13: Introducing Industry Data Models 18. Chapter 14: Establishing Data Governance 19. Other Books You May Enjoy

Understanding other SQL options in Azure

In Chapter 2, Connecting Requirements and Technology, we talked about different size options for your modern data warehouse. When we look at the M size, we have added an Azure SQL database for the presentation layer. When we compare the Azure SQL database to Synapse Analytics databases, the main difference is the SMP character of the Azure SQL database. See also Figure 4.1 for a comparison of SMP versus MPP.

In a SQL database, data is, by default, stored in a row orientation as it is done in SQL Server. In general, you can think of the Azure SQL database as a single database that you would spin up and use. Almost all of the functionality of a SQL Server database is available with an Azure SQL database as well.

You will also have the option to create CCIs on your tables. This will give you high analytical performance on your data stored there. In comparison to Synapse Analytics, you won't get the same scale-out architecture with...

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