Online

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

Ginger Grant

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 is an online event.

Click here to register for this event!
Sign up today and save $ 200!  Only $ 1,300!
(Early bird price is only good until 07/11/2026)

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 online. The class is available (and can be customized) 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.

Pricing Options

Registration Type Timing # of People Regular Price Discount Final Price
Individual Registration 30+ days before start 1 person $1,500 −$200 $1,300 per person
Individual Registration 1–29 days before start 1 person $1,500 $0 $1,500 per person
Group Registration (3+) 30+ days before start 3+ people $1,500 per person −$250 per person $1,250 per person Contact training@codemag.com to register a group.
Group Registration (3+) 1–29 days before start 3+ people $1,500 per person −$150 per person $1,350 per person Contact training@codemag.com to register a group.

Pricing Summary

Best Value Group Early Bird — 3+ people, 30+ days out $1,250 per person
Early Bird Savings Individual Registration — 30+ days out $1,300 per person
Group Standard Group Registration — 1–29 days out $1,350 per person
Standard Rate Individual Registration — 1–29 days out $1,500 per person

Important Notes

  • Early bird discount applies to registrations made 30 or more days before the course start date.
  • Group discounts apply when 3 or more people from the same company register together. Email training@codemag.com for group enrollment.
  • All prices are per person unless otherwise specified.
  • Contact our sales team to ask about teaching this class on-site for your company: Sales@codemag.com.

Session Agenda:

Tuesday, August 11, 2026
9:00AM
to
9:45AM		Introduction to Fabric
Ginger Grant
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
Ginger Grant
11:45AM
to
12:45PM		Lunch
12:45PM
to
1:30PM		Low Code ETL with Data Flow Gen2
Ginger Grant
1:30PM
to
2:00PM		Lab Exercise: Exercise: Modifying data with Data Flow Gen 2
Ginger Grant
2:00PM
to
2:45PM		Spark and Notebooks
Ginger Grant
2:45PM
to
3:15PM		Lab Exercise: Exercise: Introduction to Spark Notebooks
Ginger Grant
3:15PM
to
3:30PM		Break
3:30PM
to
4:30PM		Data Transformation in PySpark
Ginger Grant
4:30PM
to
5:00PM		Lab Exercise: Transforming data with Data Wrangler
Ginger Grant
Wednesday, August 12, 2026
9:00AM
to
9:45AM		Pipelines, part 1
Ginger Grant
9:45AM
to
10:15AM		Lab Exercise: Creating a pipeline with the copy command
Ginger Grant
10:15AM
to
11:00AM		Pipelines, part 2
Ginger Grant
11:00AM
to
11:45AM		Lab Exercise: Implementing parameters and variable pipelines
Ginger Grant
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
Ginger Grant
2:30PM
to
3:00PM		Lab Exercise: Implementing data security
Ginger Grant
3:00PM
to
3:45PM		Using Fabric Data to create a Chat Bot
Ginger Grant
3:45PM
to
4:00PM		Break
4:00PM
to
4:45PM		Supporting Power BI with Good Semantic Models
Ginger Grant
4:45PM
to
5:30PM		Lab Exercise: Create a Power BI Report using the data added to Fabric
Ginger Grant
Tuesday, August 11, 2026
Main
9:00AM to 9:45AM
Introduction to Fabric
Ginger Grant
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
Ginger Grant
11:45AM to 12:45PM
Lunch
12:45PM to 1:30PM
Low Code ETL with Data Flow Gen2
Ginger Grant
1:30PM to 2:00PM
Lab Exercise: Exercise: Modifying data with Data Flow Gen 2
Ginger Grant
2:00PM to 2:45PM
Spark and Notebooks
Ginger Grant
2:45PM to 3:15PM
Lab Exercise: Exercise: Introduction to Spark Notebooks
Ginger Grant
3:15PM to 3:30PM
Break
3:30PM to 4:30PM
Data Transformation in PySpark
Ginger Grant
4:30PM to 5:00PM
Lab Exercise: Transforming data with Data Wrangler
Ginger Grant
Wednesday, August 12, 2026
Main
9:00AM to 9:45AM
Pipelines, part 1
Ginger Grant
9:45AM to 10:15AM
Lab Exercise: Creating a pipeline with the copy command
Ginger Grant
10:15AM to 11:00AM
Pipelines, part 2
Ginger Grant
11:00AM to 11:45AM
Lab Exercise: Implementing parameters and variable pipelines
Ginger Grant
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
Ginger Grant
2:30PM to 3:00PM
Lab Exercise: Implementing data security
Ginger Grant
3:00PM to 3:45PM
Using Fabric Data to create a Chat Bot
Ginger Grant
3:45PM to 4:00PM
Break
4:00PM to 4:45PM
Supporting Power BI with Good Semantic Models
Ginger Grant
4:45PM to 5:30PM
Lab Exercise: Create a Power BI Report using the data added to Fabric
Ginger Grant