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Learn Microsoft Fabric

You're reading from Learn Microsoft Fabric

Product type Book

Published in Feb 2024

Publisher Packt

ISBN-13 9781835082287

Pages 338 pages

Edition 1st Edition

Languages

Concepts

Authors (2):

Arshad Ali

Bradley Schacht

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Table of Contents (19) Chapters

Preface

1. Part 1: An Introduction to Microsoft Fabric

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

Why subscribe?

18. Other Books You May Enjoy

Monitoring Data Factory pipelines and dataflows

A Data Factory workload in Fabric brings together the ease of use of Power Query and the scale and power of Azure Data Factory for you to build the data integration component of your analytics system. It offers pipelines, which are groupings of one or more activities that are executed together (either serially or parallelly based on how you have designed it) to perform a specific task, and dataflows, which are transformation engines of Microsoft Fabric that use Power Query to deliver a low- to no-code data transformation experience. You can monitor the execution of pipelines and dataflows in Monitoring hub. You can scroll through the list of tracked information or you can use the filter available at the top of the Monitoring hub page to filter tracked information for pipelines or dataflows. As shown in Figure 7.4, you can also use text-based search to filter out information to easily locate the pipeline or dataflow execution instance...

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Authors (2)

Arshad Ali

Arshad Ali is a principal product manager at Microsoft, working on the Microsoft Fabric product team in Redmond, WA. He focuses on Spark Runtime, which empowers both data engineering and data science experiences. In his previous role, he helped strategic customers and partners adopt Azure Synapse and Microsoft Fabric. Arshad has more than 20 years of industry experience and has been with Microsoft for over 16 years. He is the co-author of the book Big Data Analytics with Azure HDInsight and the author of over 200 technical articles and blogs on data and analytics. Arshad holds an MBA from the Foster School of Business at the University of Washington and an MCA from India.

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Bradley Schacht

Bradley Schacht is a principal program manager on the Microsoft Fabric product team based in Saint Augustine, Florida. Bradley is a former consultant and trainer and has co-authored five books on SQL Server and Power BI. As a member of the Microsoft Fabric product team, Bradley works directly with customers to solve some of their most complex data problems and helps shape the future of Microsoft Fabric. Bradley gives back to the community by speaking at events, such as the PASS Summit, SQL Saturday, Code Camp, and user groups across the country, including locally at the Jacksonville SQL Server User Group (JSSUG). He is a contributor on SQLServerCentral and blogs on his personal site, BradleySchacht.

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