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.
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.
Program outline
Outline points are grouped in one designed block instead of being treated as separate module cards.
Module 1: Fabric and OneLake Architecture
Capacities, workspaces, domains, items, and OneLake storage
Lakehouse, warehouse, eventhouse, and semantic model choices
Shortcuts, mirroring, and governed data access
Module 2: Data Ingestion with Data Factory
Pipelines, copy activities, connections, and gateways
Dataflow Gen2 transformations and destination mapping
Incremental loading, parameters, and failure handling
Module 3: Spark and Delta Engineering
Fabric notebooks, Spark sessions, and environment management
Delta tables, partitioning, optimization, and vacuum
Medallion transformations and reusable notebook functions
Module 4: Security and Production Operations
Workspace roles, item permissions, and sensitivity labels
Deployment pipelines, Git integration, and release promotion
Capacity monitoring, job diagnostics, and cost governance
Module 5: End-to-End Fabric Workshop
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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