Learn Microsoft Fabric

Learn Microsoft Fabric

位教师：Packt - Course Instructors

访问权限由 Coursera Learning Team 提供

11个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

9 小时完成

灵活的计划

自行安排学习进度

11个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

9 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Explore the core services and capabilities of Microsoft Fabric
Build end-to-end data analytics solutions for lakehouses and data warehouses
Implement real-time analytics and data science workflows

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

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作业

11 项作业

授课语言：英语（English）

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该课程共有11个模块

This course provides a comprehensive guide to Microsoft Fabric, focusing on building scalable, secure, and AI-driven data solutions. It covers essential tools and techniques for modern data analytics, helping professionals harness the power of Microsoft Fabric. By integrating Copilot, the course enhances developers' productivity while tackling real-world data use cases.

Learners will build complete data analytics systems, from data integration to transformation and visualization. With hands-on, scenario-based tutorials, the course prepares students to create systems for lakehouses, data warehouses, real-time analytics, and data science. The course blends theoretical concepts with practical applications, ensuring learners gain real-world experience in building future-ready data solutions. Key features include learning through real-world examples and understanding how to monitor, manage, and secure data environments. Designed for data professionals with a basic understanding of SQL and Spark, this course helps analysts, engineers, scientists, and developers advance their skills in AI-driven analytics. Based on the book, Learn Microsoft Fabric, by Arshad Ali and Bradley Schacht.

This section introduces Microsoft Fabric as a unified analytics platform, focusing on its core capabilities and how it simplifies data management.

涵盖的内容

2个视频3篇阅读材料1个作业

In this section, we explore Microsoft Fabric workloads, including Data Factory, Data Engineering, and Real-Time Analytics, to build end-to-end analytics systems with practical applications.

涵盖的内容

1个视频9篇阅读材料1个作业

1个视频总计1分钟

Understanding Different Workloads and Getting Started with Microsoft Fabric - Overview Video1分钟

9篇阅读材料总计95分钟

Introduction15分钟
Data Factory10分钟
Dataflow Gen210分钟
Powered by Apache Spark10分钟
VS Code Integration10分钟
Combining the Lakehouse and Data Warehouse10分钟
Data Science10分钟
Real-Time Analytics10分钟
Power BI10分钟

1个作业总计10分钟

Exploring Microsoft Fabric Workloads and Data Management10分钟

In this section, we explore building an end-to-end analytics system using a lakehouse architecture with Medallion layers, Delta Lake, and OneLake for unified data storage and analysis.

涵盖的内容

1个视频6篇阅读材料1个作业

In this section, we explore building an end-to-end analytics system using a data warehouse, focusing on data ingestion, T-SQL transformation, and ETL orchestration with Data Factory for practical data processing and reporting.

涵盖的内容

1个视频4篇阅读材料1个作业

In this section, we explore real-time analytics systems, focusing on data pipelines, Kusto Query Language, and Power BI reporting for scalable data solutions.

涵盖的内容

1个视频1篇阅读材料1个作业

In this section, we explore building an end-to-end analytics system using AI and ML, focusing on data ingestion, model design with LightGBM and FLAML, and operationalizing models in Microsoft Fabric.

涵盖的内容

1个视频5篇阅读材料1个作业

1个视频总计1分钟

Building an End-to-End Analytics System Data Science - Overview Video1分钟

5篇阅读材料总计50分钟

Introduction10分钟
Data and Storage Creating a Lakehouse and Ingesting Data Using Apache Spark10分钟
Data Preprocessing10分钟
Training10分钟
Analyzing and Getting Insights10分钟

1个作业总计10分钟

Building an End-to-End Analytics System10分钟

This section covers monitoring Data Factory, Spark, and real-time analytics in Fabric for improved performance and reliability.

涵盖的内容

1个视频1篇阅读材料1个作业

In this section, we explore enabling Microsoft Fabric in a tenant, managing Spark job configurations, and associating capacities with workspaces for efficient resource allocation and performance optimization.

涵盖的内容

1个视频2篇阅读材料1个作业

In this section, we examine Microsoft Fabric's security and governance frameworks, focusing on platform protection, workspace permissions, and compliance strategies to ensure data integrity and regulatory adherence.