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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 Industry Data Models

Industry data models have been developed by different companies for a long time. Microsoft started to offer this approach with the Common Data Model (CDM), which spans all three cloud pillars of Microsoft (Azure, Office 365, and Dynamics 365). The goal is to easily interconnect data services with each other and follow a predefined structure that is known by all the components involved. If, for example, sales data is read from Dynamics 365, its structure is defined and already available for Data Factory. It can be written to Azure Data Lake Storage or Synapse SQL pools, and from there Power BI already knows the structure and can offer reports and dashboards.

The CDM can be adjusted to your needs. This means you, as the developer, can add attributes to existing entities, create additional entities, or skip the ones you don't need.

To learn more about industry data models, check out Chapter 13, Introducing Industry Data Models.

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