Microsoft Fabric Mastery: From Data Lake to AI-Powered Analytics

September 23, 2025 | Online, Virtual

Transform your organization's data strategy with this intensive two-day, hands-on training in Microsoft Fabric, the unified analytics platform that's revolutionizing how enterprises handle their entire data lifecycle. Whether you're a data engineer, analyst, or business intelligence professional, this course will equip you with the practical skills to leverage Fabric's powerful suite of integrated tools.

This event took place on Tuesday, September 23, 2025.

What You'll Master

In just two days, you'll progress from Fabric fundamentals to building sophisticated data solutions that drive real business value. Day 1 establishes your foundation with Fabric's architecture, OneLake storage, and low-code ETL processes using Dataflow Gen2. You'll dive deep into Spark notebooks and PySpark transformations, learning to harness the power of distributed computing for large-scale data processing.

Day 2 elevates your expertise to production-level implementations. You'll orchestrate complex data workflows with pipelines, implement enterprise-grade security and governance, and explore the cutting-edge intersection of AI and analytics by building chatbots powered by your Fabric data. The course culminates with creating stunning Power BI reports that bring your data to life.

Key Learning Outcomes:

  • Build scalable data lakehouses and warehouses in OneLake
  • Develop automated ETL pipelines with monitoring and scheduling
  • Master both low-code and code-first approaches to data transformation
  • Implement enterprise security, governance, and CI/CD best practices
  • Create AI-powered chatbots using Fabric's Data Agents
  • Design optimized semantic models for high-performance reporting

Perfect For: Data engineers, BI developers, analysts, and IT professionals ready to modernize their data stack with Microsoft's most advanced analytics platform.

Format: Interactive workshop with eight hands-on exercises, ensuring you leave with practical, immediately applicable skills.

Note: Ginger is teaching this class at the CODE office in Houston, and we're advertising five seats to attend the class online. This course is a test of new material that we plan to offer fully online after this test concludes. This test class will not be recorded. The course will be available for onsite training at customer locations.

Join us to unlock the full potential of your data with Microsoft Fabric—where every data challenge becomes an opportunity for innovation.

AGENDA

Tuesday, September 23, 2025
9:00AMIntroduction to FabricBREAKOUTGinger Grant
9:45AMBreak
10:00AMStoring and Accessing Data in LakehouseBREAKOUTGinger Grant
11:00AMLab Exercise: Exercise : Creating a lakehouseBREAKOUTGinger Grant
11:45AMLunch
12:45PMLow Code ETL with Data Flow Gen2BREAKOUTGinger Grant
1:30PMLab Exercise: Exercise: Modifying data with Data Flow Gen 2BREAKOUTGinger Grant
2:00PMSpark and NotebooksBREAKOUTGinger Grant
2:45PMLab Exercise: Exercise: Introduction to Spark NotebooksBREAKOUTGinger Grant
3:15PMBreak
3:30PMData Transformation in PySparkBREAKOUTGinger Grant
4:30PMLab Exercise: Transforming data with Data WranglerBREAKOUTGinger Grant
Wednesday, September 24, 2025
9:00AMPipelines, part 1BREAKOUTGinger Grant
9:45AMLab Exercise: Creating a pipeline with the copy commandBREAKOUTGinger Grant
10:15AMPipelines, part 2BREAKOUTGinger Grant
11:00AMLab Exercise: Implementing parameters and variable pipelinesBREAKOUTGinger Grant
11:45AMLunch
12:45PMAdministration and Source ControlBREAKOUTGinger Grant
1:30PMBreak
1:45PMData Warehouse and SQL Server DBBREAKOUTGinger Grant
2:30PMLab Exercise: Implementing data securityBREAKOUTGinger Grant
3:00PMUsing Fabric Data to create a Chat BotBREAKOUTGinger Grant
3:45PMBreak
4:00PMSupporting Power BI with Good Semantic ModelsBREAKOUTGinger Grant
4:45PMLab Exercise: Create a Power BI Report using the data added to FabricBREAKOUTGinger Grant
Tuesday, September 23, 2025
9:00AMBREAKOUT
Introduction to Fabric
Ginger Grant
9:45AM
Break
10:00AMBREAKOUT
Storing and Accessing Data in Lakehouse
Ginger Grant
11:00AMBREAKOUT
Lab Exercise: Exercise : Creating a lakehouse
Ginger Grant
11:45AM
Lunch
12:45PMBREAKOUT
Low Code ETL with Data Flow Gen2
Ginger Grant
1:30PMBREAKOUT
Lab Exercise: Exercise: Modifying data with Data Flow Gen 2
Ginger Grant
2:00PMBREAKOUT
Spark and Notebooks
Ginger Grant
2:45PMBREAKOUT
Lab Exercise: Exercise: Introduction to Spark Notebooks
Ginger Grant
3:15PM
Break
3:30PMBREAKOUT
Data Transformation in PySpark
Ginger Grant
4:30PMBREAKOUT
Lab Exercise: Transforming data with Data Wrangler
Ginger Grant
Wednesday, September 24, 2025
9:00AMBREAKOUT
Pipelines, part 1
Ginger Grant
9:45AMBREAKOUT
Lab Exercise: Creating a pipeline with the copy command
Ginger Grant
10:15AMBREAKOUT
Pipelines, part 2
Ginger Grant
11:00AMBREAKOUT
Lab Exercise: Implementing parameters and variable pipelines
Ginger Grant
11:45AM
Lunch
12:45PMBREAKOUT
Administration and Source Control
Ginger Grant
1:30PM
Break
1:45PMBREAKOUT
Data Warehouse and SQL Server DB
Ginger Grant
2:30PMBREAKOUT
Lab Exercise: Implementing data security
Ginger Grant
3:00PMBREAKOUT
Using Fabric Data to create a Chat Bot
Ginger Grant
3:45PM
Break
4:00PMBREAKOUT
Supporting Power BI with Good Semantic Models
Ginger Grant
4:45PMBREAKOUT
Lab Exercise: Create a Power BI Report using the data added to Fabric
Ginger Grant