- Understand Fabric’s architecture, workloads, and unified analytics approach.
- Explore the role of OneLake as the single, integrated data lake.
- Learn how Fabric brings together engineering, analytics, and BI.
- Identify core platform capabilities and business use-case fit.
- Ingest structured and unstructured data using pipelines and dataflows.
- Apply data cleaning, transformation, and orchestration best practices.
- Build reusable ETL/ELT processes for enterprise-scale workloads.
- Learn integration components for seamless data movement.
- Design and structure modern Lakehouses with Fabric.
- Manage table formats, partitions, and optimized storage layers.
- Implement medallion architectures for organized data processing.
- Enable multi-user collaboration in shared Lakehouse environments.
- Build scalable SQL Warehouses for analytical workloads.
- Run complex SQL queries and analytical transformations.
- Develop semantic models for BI-ready data structures.
- Prepare data for reporting, dashboards, and enterprise consumption.
- Use KQL Databases to ingest and process streaming data.
- Build real-time dashboards for operational decision-making.
- Enable event-driven analytics for industries such as retail and manufacturing.
- Explore continuous monitoring and alert-driven insights.
- Understand how Fabric and Power BI work together as a single platform.
- Build semantic models and connected datasets inside Fabric.
- Design reports and dashboards aligned with governance standards.
- Deliver unified BI experiences across departments and use cases.
- Apply enterprise-level governance and compliance frameworks.
- Configure role-based security and access controls.
- Organize workspaces for scalability, clarity, and operational efficiency.
- Use data lineage, monitoring, and auditing tools effectively.
- Design an end-to-end Fabric analytics solution using real business data.
- Build ingestion pipelines, transform data, and develop Lakehouse structures.
- Implement semantic modeling and Power BI delivery.
- Present a unified analytics solution leveraging the entire Fabric platform.
This training helped me finally understand how to build scalable Lakehouse and Warehouse solutions in Fabric. The real-world examples made everything easy to apply.
The unified environment of Fabric was overwhelming at first, but this course broke everything down step-by-step. I now build integrated data pipelines confidently.
What I liked most was the focus on governance and enterprise deployment. The training directly helped us modernize our analytics architecture.
As a non-engineer, Fabric seemed too technical. This course made it accessible, and now I can build my own insights and collaborate with our data team.
The capstone project was a highlight. I left the training with a complete Fabric solution I could demonstrate to clients.
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