Microsoft Fabric is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. Attend this course to learn more about this comprehensive suite of services, including data lake, data engineering, and data integration, all in one place. Learn how to implement this easy-to-use product that is designed to simplify analytics needs of enterprises.


Introduction to Microsoft Fabric

In this Module, you will learn about Overview of Microsoft Fabric​, Microsoft Fabric Terminology​, Self-help with the Fabric contextual Help pane​, searching for content​, Microsoft Fabric settings​, Working with Workspaces, discovering data in OneLake and data hub, Promoting or certifying items, applying sensitivity labels​ and Administering Microsoft Fabric.

Getting started with Data Integration and Engineering Experiences using Microsoft Fabric

In this Module, you will learn about Overview of Data Engineering in Microsoft Fabric​, Lakehouse Overview​, Ways to create a Lakehouse in Microsoft Fabric​, getting data into Fabric Lakehouse​, Data Factory in Microsoft Fabric, Working with Data Pipelines in Microsoft Fabric​, Ingesting Data with Dataflows Gen2​, Workspace roles, permissions and sharing and Introduction to Spark compute in Microsoft Fabric​.

Data Engineering using Apache Spark, Delta Lakes and Notebooks

In this Module, you will learn about Apache Spark job definition, Spark Administration settings, Apache Spark monitoring in Microsoft Fabric, Lakehouse and Delta Lake tables, how to use Microsoft Fabric notebooks, Synapse Visual Studio Code extension, Decision Guide for copy activity, dataflow or Spark, Lakehouse end-to-end scenario and architecture.

Data Warehousing, Power BI reporting in Microsoft Fabric

In this module you will learn about Introduction to Data Warehousing​, creating a Data Warehouse in Microsoft Fabric​, Data Warehouse connectivity​, Decision guide: Data Warehouse or Lakehouse​, better together: The Lakehouse and Warehouse​, Data ingestion options​, managing performance, Querying and monitoring the Data Warehouse​ and creating models and building Power BI reports​.

Implementing Real-Time Analytics and Data Science in Microsoft Fabric

In this Module, you will learn about Overview of Real-time Analytics in Microsoft Fabric, Event Streams in Microsoft Fabric, Creating a KQL Database, Querying data in a KQL Queryset, Introduction to Data Science in Microsoft Fabric, Working with Notebooks in Microsoft Fabric, Preparing Data, Training machine learning models, Tracking models, experiments and Autologging and Model Scoring

Post-training Skills Assessment

Take this assessment to validate your skills gathered from the self-paced online learning course completed in this course to mark your completion.

Course Completion Survey

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