Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Module 1 – Introduction to Microsoft Fabric
- Platform overview and key components.
- Integration with Microsoft 365 and other Microsoft services.
- Distinguishing factors between Data Factory, Synapse, and Fabric.
Module 2 – Creating and Managing Workspaces
- Understanding the role of Fabric Workspaces.
- Creating and organizing Workspaces.
- Managing permissions and access.
Module 3 – Lakehouse in Fabric
- The Lakehouse concept: merging Data Lake and Data Warehouse functionalities.
- Establishing a Lakehouse in Fabric.
- Importing and managing data resources.
Module 4 – Notebooks in Fabric
- Introduction to Notebooks utilizing Python and SQL.
- Creating and executing notebooks within Fabric.
- Application scenarios for exploratory analysis and data transformations.
Module 5 – Pipelines (Visual ETL)
- ETL concepts specific to Microsoft Fabric.
- Constructing visual pipelines for data ingestion and transformation.
- Scheduling and monitoring data flows.
Module 6 – Data Warehouse
- Creating Data Warehouses within Fabric.
- Table modeling and establishing relationships.
- Integrating with external data sources and other layers.
Module 7 – Semantic Model
- Understanding semantic models and their importance.
- Creating and editing analytical models.
- Working with measures, hierarchies, and KPIs.
Module 8 – Building Reports in Power BI
- Connecting to the semantic model.
- Best practices for dashboard design.
- Sharing and publishing reports within Fabric.
Summary and Next Steps
Requirements
- A solid understanding of fundamental data concepts and cloud services.
- Practical experience with data analytics tools like Power BI or SQL.
- Familiarity with Microsoft 365 environments.
Target Audience
- Data analysts and engineers.
- Business intelligence developers.
- IT professionals involved with Microsoft data platforms.
21 Hours