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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
Authors (2):
Arshad Ali Arshad Ali
Profile icon Arshad Ali
Bradley Schacht Bradley Schacht
Profile icon Bradley Schacht
View More author details

Table of Contents (19) Chapters

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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

access

checking, to Microsoft Fabric 23, 24

activities 27

Admin 242

admin center 20

Apache Spark 34, 35

URL 32

used, for data ingesting into lakehouse 167

Apache Spark libraries, managing

reference link 232

application lifecycle management (ALM) 251

Application Programming Interfaces (APIs) 11

artificial intelligence (AI) 47

Atomicity, Consistency, Isolation, and Durability (ACID) 7

autologging, in Microsoft Fabric

reference link 230

automated ML (AutoML)

FLAML integration for 48, 49, 193, 194

Auto-Scale feature 17

auto-tune 232

reference link 232

Azure 4

Azure Active Directory (AAD) 34

Azure Data Factory 27

Azure Data Lake 66

Azure Data Lake Storage Gen2 (ADLS Gen2) 11, 108

Azure Data Services 65

Azure Data Studio...

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Published in: Feb 2024 Publisher: Packt ISBN-13: 9781835082287
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