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Learn Microsoft Fabric

You're reading from   Learn Microsoft Fabric A practical guide to performing data analytics in the era of artificial intelligence

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781835082287
Length 338 pages
Edition 1st Edition
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Authors (2):
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Bradley Schacht Bradley Schacht
Author Profile Icon Bradley Schacht
Bradley Schacht
Arshad Ali Arshad Ali
Author Profile Icon Arshad Ali
Arshad Ali
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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1: An Introduction to Microsoft Fabric FREE CHAPTER
2. Chapter 1: Overview of Microsoft Fabric and Understanding Its Different Concepts 3. Chapter 2: Understanding Different Workloads and Getting Started with Microsoft Fabric 4. Part 2: Building End-to-End Analytics Systems
5. Chapter 3: Building an End-to-End Analytics System – Lakehouse 6. Chapter 4: Building an End-to-End Analytics System – Data Warehouse 7. Chapter 5: Building an End-to-End Analytics System – Real-Time Analytics 8. Chapter 6: Building an End-to-End Analytics System – Data Science 9. Part 3: Administration and Monitoring
10. Chapter 7: Monitoring Overview and Monitoring Different Workloads 11. Chapter 8: Administering Fabric 12. Part 4: Security and Developer Experience
13. Chapter 9: Security and Governance Overview 14. Chapter 10: Continuous Integration and Continuous Deployment (CI/CD) 15. Part 5: AI Assistance with Copilot Integration
16. Chapter 11: Overview of AI Assistance and Copilot Integration 17. Index 18. Other Books You May Enjoy

Loading data

As previously discussed, there are several ways to load data into a warehouse. In this section, we will explore two methods: the Data Factory copy activity and T-SQL. The loading method you choose will largely depend on two factors: developer skillset and data source connectivity.

Data warehouse professionals are very likely to be proficient in writing T-SQL and may, therefore, gravitate toward a code-based approach that uses the COPY command. While analysts may not have as deep of a T-SQL skillset, they may opt for a GUI-based approach with Data Factory. While an individual may want to use a code-based approach, the fact that T-SQL requires the data to come from a narrow set of locations could mean the copy activity is a better fit. There are other factors to consider, such as enterprise standards and ETL frameworks, that may inform a decision on the tool used.

Note

In a real-world scenario, it is unlikely that you would load data from the same source using different...

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