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Data Modeling for Azure Data Services

You're reading from Data Modeling for Azure Data Services

Product type Book

Published in Jul 2021

Publisher Packt

ISBN-13 9781801077347

Pages 428 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Peter ter Braake

Table of Contents (16) Chapters

Preface

1. Section 1 – Operational/OLTP Databases

2. Chapter 1: Introduction to Databases

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

A data lake plays a central role in the modern data warehouse architecture. In this chapter, you learned what a data lake is. You learned what zones a data lake may consist of and how to set up a folder structure for those zones. You also learned about some different file formats to use.

You implemented a data lake by provisioning an Azure storage account.

The next chapter will give you a high-level insight into how to copy data from source systems into a data lake and how to propagate the data further downstream.

The rest of the chapter is locked

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Authors (1)

Peter ter 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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