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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
Author Profile Icon Peter ter Braake
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

Understanding big data

What is big data?

Well, here's one practical definition:

You have big data when you need to innovate to do with your data what you need to do.

This means that if your biggest database is an Excel sheet where you have reached the limit of 1 million rows, you have big data. In this case, you need to use another application, possibly on other hardware, to keep working with that data.

This definition is more of a joke than a real definition. However, there is a kernel of truth in there, as well as a warning. When you want to do with your data what companies have been doing with their data for years, you are probably better off using a relational database. Some companies implement big data solutions because they feel they have to. They worry that if they don't, the competition will. But without a solid business case for big data, you are better off using a well-known solution on proven technology. The big data world is moving very rapidly. There...

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