AI and Data in Business
Microsoft Fabric Data Engineering
This in-depth course develops directly applicable capability in Microsoft Fabric Data Engineering. It connects Fabric and OneLake Architecture, Data Ingestion with Data Factory, and Spark and Delta Engineering to the decisions, controls, and activities participants need to perform in their workplace.
Overview
Practical learning for workplace transfer.
This in-depth course develops directly applicable capability in Microsoft Fabric Data Engineering. It connects Fabric and OneLake Architecture, Data Ingestion with Data Factory, and Spark and Delta Engineering to the decisions, controls, and activities participants need to perform in their workplace. The five-module curriculum progresses toward End-to-End Fabric Workshop, using evidence, scenarios, and work products appropriate to the subject.
Prerequisites
Relevant workplace familiarity is recommended; exact technical prerequisites can be adapted to the participant group.
Objectives
- Analyze fabric and onelake architecture, including capacities, workspaces, domains, items, and onelake storage.
- Configure or structure data ingestion with data factory, including pipelines, copy activities, connections, and gateways.
- Evaluate spark and delta engineering, including fabric notebooks, spark sessions, and environment management.
- Manage security and production operations, including workspace roles, item permissions, and sensitivity labels.
- Apply end-to-end fabric workshop, including ingest source data into a onelake lakehouse.
Target audience
- Professionals responsible for this subject area
- Managers, supervisors, and team leaders
- Analysts, specialists, engineers, or coordinators working with the relevant processes
- Project, implementation, assurance, or improvement team members
- Professionals preparing for broader responsibilities in this field
Program outline
A clear structure for the learning journey.
Outline points are grouped in one designed block instead of being treated as separate module cards.
01Fabric and OneLake Architecture3 topics
- Capacities, workspaces, domains, items, and OneLake storage
- Lakehouse, warehouse, eventhouse, and semantic model choices
- Shortcuts, mirroring, and governed data access
02Data Ingestion with Data Factory3 topics
- Pipelines, copy activities, connections, and gateways
- Dataflow Gen2 transformations and destination mapping
- Incremental loading, parameters, and failure handling
03Spark and Delta Engineering3 topics
- Fabric notebooks, Spark sessions, and environment management
- Delta tables, partitioning, optimization, and vacuum
- Medallion transformations and reusable notebook functions
04Security and Production Operations3 topics
- Workspace roles, item permissions, and sensitivity labels
- Deployment pipelines, Git integration, and release promotion
- Capacity monitoring, job diagnostics, and cost governance
05End-to-End Fabric Workshop3 topics
- Ingest source data into a OneLake lakehouse
- Transform and publish curated Delta tables
- Validate lineage, security, refresh, and operational monitoring
Materials provided
- ○ Course-specific presentation slides
- ○ Guided exercises, scenarios, or configured-environment activities appropriate to the subject
- ○ Course-specific worksheets, checklists, or calculation templates
- ○ Applied workplace case materials
- ○ 4D Certificate of Completion issued by 4D Training & Consultancy
- ○ Post-course support for implementation questions
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
4D Training & Consultancy adapts the program to the client’s operating environment. Delivery combines structured explanation with subject-specific analysis, exercises, and implementation decisions so participants can transfer the learning to real responsibilities without implying vendor authorization.
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