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

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.

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