“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
Microsoft Fabric Engineering Foundations
Build an operational analytics foundation in Microsoft Fabric. Proposed instructor-led duration; delivery subject to environment and lab validation.
VNode ITeSFoundation
Download Program Brief (PDF)Program Snapshot
Engagement scoped to cohort
Duration40 hours
FormatPrivate cohort
LevelFoundation
Course CodeF06
- MCT-led delivery
- Private cohort / virtual ILT
- Typical response: 1 business day
Scoping call typically scheduled within one business day
VNode ITeS delivers Microsoft Fabric Engineering Foundations as an MCT-led VNode ITeS program for Data engineers, Analytics engineers. Typical duration is 40 hours (Private cohort). Delivery stays scoped to how your teams will actually use the platform after the room empties. Private cohorts can shift emphasis by role mix, workspace or repo constraints, and rollout timing.
Audience Profile
Built for these roles
Data engineers, Analytics engineers
- Tailored Team Delivery
Overview
Executive overview
Build an operational analytics foundation in Microsoft Fabric.
Environment and licensing
Fabric capacity and isolated workspace Author and consumer personas Source files and notebook runtime Data-agent labs: paid F2+ or qualifying P1+ capacity, tenant AI settings and source access as documented; cohort capacity sized separately Delivery depends on environment and lab validation. This outline does not include step-by-step lab instructions.
Prerequisites
- SQL and data engineering fundamentals
- SQL and Data Engineering Foundations, or equivalent demonstrable experience
Program Outcomes
Capabilities your teams will gain
- Demonstrate the source-to-semantic-model analytics workflow
- Reconcile metrics and diagnose an injected refresh failure
- Prove intended access for separate author and consumer personas
- Document workspace design, refresh ownership and capacity assumptions
Enterprise Delivery
Private cohort delivery
VNode-designed, vendor-aligned instructor-led program. Scope role mix, delivery format, and rollout goals for your cohort.
Curriculum
Curriculum roadmap
Proposed instructor-led duration; delivery subject to environment and lab validation.
- Fabric architecture and OneLake
- Ingestion and orchestration
- Transformation and quality
- Consumption and security
- Operations and integrated assessment
1Module 1 · 8 hours
Fabric architecture and OneLake
+
Module 1 · 8 hours
Fabric architecture and OneLake
Create a workspace design and load supplied data into the selected analytical store.
Capacity and workspaces
- Explain capacity, workspace and item boundaries
- Identify author and consumer responsibilities
Lakehouse versus warehouse
- Choose lakehouse versus warehouse for a concrete workload
- Compare SQL-first and notebook-oriented processing
OneLake
- Explain OneLake storage and logical access
- Distinguish shortcuts from copied data conceptually
Item ownership
- Create a small analytical landing zone
- Record source formats and ownership
Concept and design 4h · applied exercise 3h · review 1h. Included within module duration; no extra hours. Refine during delivery planning without silently changing published course hours.
Applied exercise: Fabric architecture and OneLake
Create a workspace design and load supplied data into the selected analytical store.
Expected output. Workspace architecture and first load
Acceptance. The selected storage design is justified and the first load is queryable.
2Module 2 · 8 hours
Ingestion and orchestration
+
Module 2 · 8 hours
Ingestion and orchestration
Create a parameterised data ingestion pipeline with error handling.
Pipelines
- Select supported sources and connection authentication
- Identify gateway or network dependencies
Supported connectors
- Parameterise file paths, dates and destinations
- Design reusable ingestion activities
Parameters
- Track incremental progress and rerun conditions
- Reconcile source and destination record counts
Incremental-load concepts
- Capture errors without exposing credentials
- Document retry and recovery decisions
Concept and design 4h · applied exercise 3h · review 1h. Included within module duration; no extra hours. Refine during delivery planning without silently changing published course hours.
Applied exercise: Ingestion and orchestration
Create a parameterised data ingestion pipeline with error handling.
Expected output. Repeatable ingestion pipeline
Acceptance. The pipeline reruns safely and identifies a deliberately failed source operation.
3Module 3 · 8 hours
Transformation and quality
+
Module 3 · 8 hours
Transformation and quality
Transform raw data into validated analytical tables using SQL-first examples.
SQL transformations
- Separate raw, validated and curated datasets
- Use SQL transformations at an explicit grain
Notebook concepts
- Explain where notebooks add value
- Distinguish SQL and Spark execution responsibilities
Delta table concepts
- Describe transactional table and schema behaviour
- Prevent malformed rows from entering curated outputs
Quality and reconciliation
- Measure completeness and reconciliation
- Document quality exceptions and remediation ownership
Concept and design 4h · applied exercise 3h · review 1h. Included within module duration; no extra hours. Refine during delivery planning without silently changing published course hours.
Applied exercise: Transformation and quality
Transform raw data into validated analytical tables using SQL-first examples.
Expected output. Validated analytical tables
Acceptance. Curated outputs pass the agreed quality checks and reconcile to accepted source records.
4Module 4 · 8 hours
Consumption and security
+
Module 4 · 8 hours
Consumption and security
Build a small semantic model and test two consumer personas.
Semantic model fundamentals
- Map business questions to semantic model entities
- Define measures with clear aggregation meaning
Measures
- Validate metrics against direct SQL reference queries
- Identify ambiguous relationships and totals
Workspace and item permissions
- Separate workspace roles from item/data permissions
- Test consumer access through the actual query surface
Lineage
- Inspect available source-to-consumption lineage
- Assign ownership to the published analytical product
Concept and design 4h · applied exercise 3h · review 1h. Included within module duration; no extra hours. Refine during delivery planning without silently changing published course hours.
Applied exercise: Consumption and security
Build a small semantic model and test two consumer personas.
Expected output. Semantic model and access evidence
Acceptance. Two personas see the intended data and agreed metrics match reference queries.
5Module 5 · 8 hours
Operations and integrated assessment
+
Module 5 · 8 hours
Operations and integrated assessment
Demonstrate source-to-report processing and diagnose a failed refresh.
Refresh orchestration
- Orchestrate ingestion, transformation and refresh dependencies
- Identify failed and incomplete refreshes
Monitoring
- Inspect run history and relevant diagnostic evidence
- Differentiate data errors from capacity or connection failures
Capacity awareness
- Identify concurrency and capacity pressure conceptually
- Schedule cleanup and retention for training items
Cleanup and handover
- Record deployment/configuration assumptions
- Demonstrate a full run and operational handover
Concept and design 2h · applied exercise 4h · review 2h. Included within module duration; no extra hours. Refine during delivery planning without silently changing published course hours.
Capstone: Operations and integrated assessment
Demonstrate source-to-report processing and diagnose a failed refresh.
Expected output. Assessed Fabric analytics solution
Acceptance. A failed refresh is diagnosed and the complete source-to-report flow is demonstrated.
Capstone
Demonstrate source-to-report processing and diagnose a failed refresh. Assessed Fabric analytics solution Evidence of relevant access, quality and risk controls Demonstration and limitations record
Assessment
Scenario-based practical assessment Demonstrate the source-to-semantic-model analytics workflow 30% Reconcile metrics and diagnose an injected refresh failure 25% Prove intended access for separate author and consumer personas 25% Document workspace design, refresh ownership and capacity assumptions 20% Proposed VNode outline-level assessment; no vendor accreditation or completed lab validation implied.
Participant deliverables
- Assessed Fabric analytics solution
- Evidence of relevant access, quality and risk controls
- Demonstration and limitations record
Scope boundaries
Step-by-step lab instructions; Runnable solution code; Packaged source datasets; Executed environment validation
Delivery options
Count teaching hours, not calendar days. Exclude breaks. Split into 4-hour or 8-hour teaching sessions; schedule complex project work in contiguous blocks.
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
- Private cohort delivery
- Foundation practitioner depth
- Business outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Build an operational analytics foundation in Microsoft Fabric.
- Private cohort scheduling
- Equivalent-experience entry review
Resources
Program resources
Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.
Enterprise Proof
Trusted delivery outcomes
“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Banking & Finance
Representative Enterprise Banking Team
The focus was not just on tooling knowledge, but on helping teams work from a shared operating model as they adopted a more modern data platform.
- Clearer platform operating model across teams
- Improved confidence in modern data stack adoption
Healthcare
Representative Healthcare Product Team
The engagement helped product and engineering stakeholders move from interest in AI to clearer implementation choices, security expectations, and prototyping discipline.
- Stronger alignment between product and engineering teams
- Improved clarity on prototype-to-production requirements
Delivery Capability
Enterprise-grade instruction
MCT-led delivery
Programs led by Microsoft Certified Trainer practitioners
Enterprise program oversight
Founder-led specialist delivery with structured rollout planning
Global delivery
APAC · EMEA · Americas · Virtual & Onsite
Implementation-focused
Hands-on labs aligned to production scenarios
