


Online
Microsoft Fabric Mastery: From Data Lake to AI-Powered Analytics
Ginger Grant
Transform your organization's data strategy with this intensive 2-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 is an online event.
Click here to register for this event!
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, One Lake 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 One Lake
- 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 8 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 5 seats to attend the class online. This course is a beta run of material that we plan to offer fully online after this beta concludes. This beta 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.
Session Agenda:
Tuesday, September 23, 2025 | |
9:00AM to 9:45AM | Introduction to Fabric |
9:45AM to 10:00AM | Break |
10:00AM to 11:00AM | Storing and Accessing Data in Lakehouse |
11:00AM to 11:45AM | Lab Exercise: Exercise : Creating a lakehouse |
11:45AM to 12:45PM | Lunch |
12:45PM to 1:30PM | Low Code ETL with Data Flow Gen2 |
1:30PM to 2:00PM | Lab Exercise: Exercise: Modifying data with Data Flow Gen 2 |
2:00PM to 2:45PM | Spark and Notebooks |
2:45PM to 3:15PM | Lab Exercise: Exercise: Introduction to Spark Notebooks |
3:15PM to 3:30PM | Break |
3:30PM to 4:30PM | Data Transformation in PySpark |
4:30PM to 5:00PM | Lab Exercise: Transforming data with Data Wrangler |
Wednesday, September 24, 2025 | |
9:00AM to 9:45AM | Pipelines, part 1 |
9:45AM to 10:15AM | Lab Exercise: Creating a pipeline with the copy command |
10:15AM to 11:00AM | Pipelines, part 2 |
11:00AM to 11:45AM | Lab Exercise: Implementing parameters and variable pipelines |
11:45AM to 12:45PM | Lunch |
12:45PM to 1:30PM | Administration and Source Control |
1:30PM to 1:45PM | Break |
1:45PM to 2:30PM | Data Warehouse and SQL Server DB |
2:30PM to 3:00PM | Lab Exercise: Implementing data security |
3:00PM to 3:45PM | Using Fabric Data to create a Chat Bot |
3:45PM to 4:00PM | Break |
4:00PM to 4:45PM | Supporting Power BI with Good Semantic Models |
4:45PM to 5:30PM | Lab Exercise: Create a Power BI Report using the data added to Fabric |
Tuesday, September 23, 2025 |
Main |
9:00AM to 9:45AM Introduction to Fabric |
9:45AM to 10:00AM Break |
10:00AM to 11:00AM Storing and Accessing Data in Lakehouse |
11:00AM to 11:45AM Lab Exercise: Exercise : Creating a lakehouse |
11:45AM to 12:45PM Lunch |
12:45PM to 1:30PM Low Code ETL with Data Flow Gen2 |
1:30PM to 2:00PM Lab Exercise: Exercise: Modifying data with Data Flow Gen 2 |
2:00PM to 2:45PM Spark and Notebooks |
2:45PM to 3:15PM Lab Exercise: Exercise: Introduction to Spark Notebooks |
3:15PM to 3:30PM Break |
3:30PM to 4:30PM Data Transformation in PySpark |
4:30PM to 5:00PM Lab Exercise: Transforming data with Data Wrangler |
Wednesday, September 24, 2025 |
Main |
9:00AM to 9:45AM Pipelines, part 1 |
9:45AM to 10:15AM Lab Exercise: Creating a pipeline with the copy command |
10:15AM to 11:00AM Pipelines, part 2 |
11:00AM to 11:45AM Lab Exercise: Implementing parameters and variable pipelines |
11:45AM to 12:45PM Lunch |
12:45PM to 1:30PM Administration and Source Control |
1:30PM to 1:45PM Break |
1:45PM to 2:30PM Data Warehouse and SQL Server DB |
2:30PM to 3:00PM Lab Exercise: Implementing data security |
3:00PM to 3:45PM Using Fabric Data to create a Chat Bot |
3:45PM to 4:00PM Break |
4:00PM to 4:45PM Supporting Power BI with Good Semantic Models |
4:45PM to 5:30PM Lab Exercise: Create a Power BI Report using the data added to Fabric |