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 | ||
| 9:00AM | Introduction to FabricBREAKOUT | Ginger Grant |
| 9:45AM | Break | |
| 10:00AM | Storing and Accessing Data in LakehouseBREAKOUT | Ginger Grant |
| 11:00AM | Lab Exercise: Exercise : Creating a lakehouseBREAKOUT | Ginger Grant |
| 11:45AM | Lunch | |
| 12:45PM | Low Code ETL with Data Flow Gen2BREAKOUT | Ginger Grant |
| 1:30PM | Lab Exercise: Exercise: Modifying data with Data Flow Gen 2BREAKOUT | Ginger Grant |
| 2:00PM | Spark and NotebooksBREAKOUT | Ginger Grant |
| 2:45PM | Lab Exercise: Exercise: Introduction to Spark NotebooksBREAKOUT | Ginger Grant |
| 3:15PM | Break | |
| 3:30PM | Data Transformation in PySparkBREAKOUT | Ginger Grant |
| 4:30PM | Lab Exercise: Transforming data with Data WranglerBREAKOUT | Ginger Grant |
| Wednesday, September 24, 2025 | ||
| 9:00AM | Pipelines, part 1BREAKOUT | Ginger Grant |
| 9:45AM | Lab Exercise: Creating a pipeline with the copy commandBREAKOUT | Ginger Grant |
| 10:15AM | Pipelines, part 2BREAKOUT | Ginger Grant |
| 11:00AM | Lab Exercise: Implementing parameters and variable pipelinesBREAKOUT | Ginger Grant |
| 11:45AM | Lunch | |
| 12:45PM | Administration and Source ControlBREAKOUT | Ginger Grant |
| 1:30PM | Break | |
| 1:45PM | Data Warehouse and SQL Server DBBREAKOUT | Ginger Grant |
| 2:30PM | Lab Exercise: Implementing data securityBREAKOUT | Ginger Grant |
| 3:00PM | Using Fabric Data to create a Chat BotBREAKOUT | Ginger Grant |
| 3:45PM | Break | |
| 4:00PM | Supporting Power BI with Good Semantic ModelsBREAKOUT | Ginger Grant |
| 4:45PM | Lab Exercise: Create a Power BI Report using the data added to FabricBREAKOUT | Ginger 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 |
