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Learn Microsoft Fabric

Learn Microsoft Fabric

By : Arshad Ali, Schacht
4.2 (18)
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Learn Microsoft Fabric

Learn Microsoft Fabric

4.2 (18)
By: Arshad Ali, Schacht

Overview of this book

Discover the capabilities of Microsoft Fabric, the premier unified solution designed for the AI era, seamlessly combining data integration, OneLake, transformation, visualization, universal security, and a unified business model. This book provides an overview of Microsoft Fabric, its components, and the wider analytics landscape. In this book, you'll explore workloads such as Data Factory, Synapse Data Engineering, data science, data warehouse, real-time analytics, and Power BI. You’ll learn how to build end-to-end lakehouse and data warehouse solutions using the medallion architecture, unlock the real-time analytics, and implement machine learning and AI models. As you progress, you’ll build expertise in monitoring workloads and administering Fabric across tenants, capacities, and workspaces. The book also guides you step by step through enhancing security and governance practices in Microsoft Fabric and implementing CI/CD workflows with Azure DevOps or GitHub. Finally, you’ll discover the power of Copilot, an AI-driven assistant that accelerates your analytics journey. By the end of this book, you’ll have unlocked the full potential of AI-driven data analytics, gaining a comprehensive understanding of the analytics landscape and mastery over the essential concepts and principles of Microsoft Fabric.
Table of Contents (19 chapters)
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1
Part 1: An Introduction to Microsoft Fabric
4
Part 2: Building End-to-End Analytics Systems
9
Part 3: Administration and Monitoring
12
Part 4: Security and Developer Experience
15
Part 5: AI Assistance with Copilot Integration

Data engineering

The amount of data an organization needs to ingest and process at scale is growing faster than ever before, ranging from tabular data to unstructured documents, images, videos, IoT sensors, and more. Hence, the role of data engineering is increasingly becoming complex yet important in any organization’s analytics journey. Data engineering capabilities in Fabric allow you to enrich your data for higher quality and organize it in a way that is easily accessible to the right individuals with the right access and at the right time. These native data engineering capabilities allow data developers and data engineers to quickly and efficiently build data transformation flows that allow them to collect, store, process, and analyze large volumes of data by leveraging the power of open source Apache Spark (https://spark.apache.org/) to transform their data at scale and build out a robust lakehouse architecture. When you switch to the data engineering experience, you will...

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Learn Microsoft Fabric
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