Implementing Analytics Solutions Using Microsoft Fabric
Prepare for the DP-600 exam and earn the Microsoft Fabric Analytics Engineer Associate certification.
This course prepares data and analytics professionals to implement end-to-end analytics solutions using Microsoft Fabric — Microsoft's unified, SaaS-based analytics platform. Participants will gain hands-on experience across the full Fabric ecosystem, including data ingestion, transformation, storage, semantic modelling, and reporting, all within a single integrated environment.
What is Microsoft Fabric?
Microsoft Fabric brings together capabilities from Azure Data Factory, Azure Synapse Analytics, and Power BI into a single, governed platform. This course explores how to leverage OneLake as a unified data store, build scalable data pipelines, engineer lakehouses and warehouses, and create certified semantic models that drive business intelligence across the organisation.
Who Should Attend?
This course is designed for data engineers, analytics engineers, and BI professionals who work with large-scale data platforms and want to formalise their skills in Microsoft Fabric. Attendees should have experience with data engineering concepts, SQL, and ideally some familiarity with Power BI or Azure data services before attending.
Upon completing this course, delegates will be well-prepared to sit the DP-600 exam and achieve the Microsoft Certified: Fabric Analytics Engineer Associate credential — a highly valued certification for analytics professionals working in modern, cloud-first data environments across the GCC, Asia-Pacific, and beyond.
What You'll Learn
Plan, implement, and manage a Microsoft Fabric analytics solution using OneLake and the Fabric SaaS platform
Ingest and transform data using dataflows, pipelines, and notebooks within Microsoft Fabric
Design and build a lakehouse, data warehouse, or medallion architecture to support analytical workloads
Create and manage semantic models, including DAX measures, relationships, and optimisation techniques
Implement row-level security, sensitivity labels, and governance policies to secure analytics assets
Monitor, optimise, and troubleshoot Fabric workloads, capacities, and data refresh performance
Who Should Attend
- Analytics Engineer
- Data Engineer
- BI Developer
- Data Architect
- Data Analyst
Prerequisites
- Familiarity with data engineering or BI development concepts; experience with SQL and relational data; working knowledge of Power BI or Azure data services (Azure Data Factory, Azure Synapse, or Azure Data Lake) is recommended.
Course Curriculum
- Plan a data analytics environment in Microsoft Fabric
- Implement and manage a Fabric workspace and capacity
- Manage the analytics development lifecycle using Git integration and deployment pipelines
- Configure and manage OneLake and OneSecurity governance settings
What's Included
- Official courseware & materials
- Hands-on lab exercises
- Practice exam questions
- Exam voucher guidance
- Post-course support (30 days)
- Certificate of completion
Upcoming Training Dates
Your Instructor
Hasit Mankad
Microsoft Certified Trainer (MCT) · 23+ Years Experience
Hasit Mankad is the Founder of TACMinds and a Microsoft Certified Trainer (MCT) with 23+ years of hands-on IT training and consulting experience. He has trained 4,500+ professionals across 14+ countries in GCC, Europe, India and Africa. Certifications: CEH, SC-100, AZ-305, SC-200, SC-300, AWS SAA, FinOps, PMP and 40+ others. Clients include ADNOC, RAK Bank, Ernst & Young, Ministry of IT Qatar and Dubai Islamic Bank. Known for 94%+ first-attempt certification pass rates.
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