Microsoft Fabric and Azure Data Engineering Corporate Training
An instructor-led program for data teams on Microsoft Fabric and Azure data engineering, from ingestion to executive dashboards.
Edstellar's instructor-led corporate Microsoft Fabric & Azure Data Engineering training builds the ingestion, data modeling, and dashboard design skills analytics teams need to deliver reliable, insight-driven platforms.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a fabric-ready team
The Edstellar MICROSOFT FABRIC DATA ENGINEERING Capability Model
Diagnose your current data practice
We benchmark your team's ingestion habits, modeling standards, and dashboard delivery before training.
Standardize the analytics workflow
Teams adopt one repeatable flow: ingest, transform, model, and publish with clear ownership at each layer.
Practice with guided data labs
Instructors coach your teams through Fabric pipelines, Spark notebooks, and semantic model exercises on realistic datasets.
Measure pipeline quality with confidence
Learners apply validation checks, monitoring, and review gates the way production analytics teams run them.
Scale the platform across the business
Graduates carry the medallion-layer pattern into new domains, onboarding business units onto Fabric.
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Program Overview: What is Microsoft Fabric and Azure Data Engineering?
Microsoft Fabric & Azure Data Engineering is Edstellar's instructor-led program for data engineers building analytics on the Microsoft data stack. It covers Fabric foundations and OneLake, Azure ingestion pipelines, lakehouse engineering with Spark, data warehousing, semantic models, and Power BI. Participants learn to move data from raw sources to trusted business insights.
Training is pipeline-driven, with participants building real data flows in Fabric and Azure from the first module. Each session pairs guided architecture with hands-on labs: ingestion, Spark notebooks, lakehouse tables, warehouse models, and Power BI reports. Instructors review each pipeline, challenging data quality choices and performance decisions. The program closes with a capstone where participants deliver an end-to-end Fabric analytics platform.
Data teams drown in disconnected tools and pipelines nobody trusts, while business users export to spreadsheets. This program teaches one coherent platform: ingest once, model cleanly, and serve insights everyone believes. The payoff is analytics that business teams actually use and engineers can actually maintain.
The final demo is the End-to-End Fabric Analytics Platform: raw sources ingested through pipelines into a lakehouse, modeled in the warehouse, and surfaced in Power BI, built by the participant and demoed as a working analytics product.
Across 24 instructor-led hours, your teams work through guided data labs on realistic business datasets: pipeline orchestration, lakehouse engineering, semantic modeling, and dashboard design. The capstone asks each team to build a working Fabric analytics platform, from ingestion to executive dashboards, and defend it in front of the instructor.
What's Included in this Workshop for Your Enterprise Teams
- 1
Guided data labs
Instructor-coached exercises in pipelines, Spark, and modeling.
- 2
Real business datasets
Labs built on realistic operational and sales data.
- 3
Capstone platform build
Teams ship an end-to-end Fabric analytics platform.
- 4
Design review
Instructor feedback on reliability, security, and cost.
- Instructor-led delivery, hybrid, onsite, or live virtual
- Cohorts of 8 to 24 learners for interactive labs
- Printed and digital workbooks with lab guides
- Sample business datasets and pipeline templates
- Shared Fabric workspaces for every lab
- Post-program reference materials and lab recordings
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
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Microsoft Fabric and Azure Data Engineering Course Topics and Program Outline
A 24-hour instructor-led program that builds a working Microsoft Fabric capability: data ingestion, lakehouse engineering, semantic modeling, pipeline orchestration, and dashboard delivery.
Built by Edstellar with data engineering expertise
Built by practitioners who engineer Fabric and Azure data platforms in production, shaped around your stack and use cases.
We benchmark your team's data engineering habits and Fabric platform familiarity before the program begins.
Instructors teach Fabric architecture, ingestion, and modeling with live demos and guided walkthroughs.
Teams run guided data labs on pipelines, Spark transformations, semantic models, and dashboards.
Each team builds and defends an end-to-end Fabric analytics platform as the capstone.
Built around guided Fabric data labs and a defended end-to-end capstone platform.
Delivered as
Programs run in hybrid, onsite, or live virtual formats, with data labs and the capstone review adapted to each delivery mode.
Hands-on: provision a Fabric workspace and explore OneLake data hubs with instructor guidance.
learna)The Microsoft Fabric platform: experiences, capacities, and workspaces
b)OneLake: the single data lake for Fabric and Azure workloads
c)Tenant settings, capacity administration, and access roles
d)Choosing between Fabric items: lakehouse, warehouse, and eventhouse
Hands-on: build a pipeline that copies source data into a OneLake landing zone.
learna)Data ingestion patterns: batch, incremental, and streaming basics
b)Building Copy jobs and data pipelines in Fabric
c)Mapping data flows and schema drift handling
d)Landing zones: bronze, silver, and gold medallion layers
Hands-on: transform bronze data into curated silver Delta tables with Spark notebooks.
practicea)Spark pools, notebooks, and lakehouse table semantics
b)Reading and writing Delta tables with Spark SQL
c)Transformations: cleaning, joining, and deduplicating at scale
d)Schema evolution, time travel, and table optimization
Hands-on: model a gold dataset and publish a Power BI report over a semantic model.
practicea)The Fabric warehouse: T-SQL, schemas, and gold tables
b)Star schemas and dimensional modeling for reporting
c)Building semantic models and DAX measures
d)Power BI integration: Direct Lake mode and dashboards
Hands-on: schedule an end-to-end pipeline with monitoring alerts and access controls.
applya)Pipeline scheduling, triggers, and dependency orchestration
b)Monitoring runs, alerts, and failure triage in Fabric
c)Row-level security, data masking, and workspace roles
d)Lineage, data catalogs, and governance checkpoints
Capstone: deliver a working Fabric platform with dashboards and defend the design in review.
applya)Capstone brief: business scenario and success criteria
b)Ingestion and medallion layers for the capstone dataset
c)Semantic modeling and Power BI dashboard delivery
d)Platform review: reliability, security, and cost walkthrough
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
Your teams leave able to engineer, orchestrate, and govern Microsoft Fabric analytics platforms end to end.
Fabric platform fluency
Navigate Fabric workspaces, capacities, and OneLake with confidence.
Data ingestion pipelines
Build reliable Copy jobs and Fabric pipelines across medallion layers.
Lakehouse engineering
Transform data with Spark notebooks and production-grade Delta tables.
Data modeling for reporting
Design star schemas and dimensional models that report cleanly.
Semantic models and DAX
Build semantic models and measures that power accurate dashboards.
Pipeline orchestration
Schedule, monitor, and troubleshoot pipelines with production discipline.
End-to-end platform delivery
Ship a governed Fabric platform from ingestion to executive dashboards.
Teams that Benefit from this Microsoft Fabric and Azure Data Engineering Group Training
Built for the functions that own analytics delivery. Content adapts to each role and experience level, so every cohort practices the data workflows it owns day to day.
Engineer reliable pipelines into the lakehouse
Learn to ingest, transform, and orchestrate data with Fabric pipelines and Spark the production way.
Workflow friction
- Brittle pipelines that break silently
- Inconsistent transformations across teams
- Slow onboarding onto new data sources
How the program helps
- Reliable medallion-layer pipeline patterns
- Faster, cleaner data delivery to analytics
- Repeatable orchestration and monitoring practice
Practice use cases
- ingestion pipelines
- Spark transforms
- orchestration
Deliver dashboards executives trust
Model gold-layer data and build semantic models that power accurate, fast Power BI reporting.
Workflow friction
- Shadow datasets with conflicting numbers
- Slow, fragile report refreshes
- Models nobody governs or documents
How the program helps
- Trusted, governed semantic models
- Faster dashboard delivery cycles
- Cleaner dimensional modeling practice
Practice use cases
- semantic models
- Power BI
- dashboard design
Turn raw data into stories that drive decisions
Work the full analytics path from curated datasets to insight storytelling with Power BI.
Workflow friction
- Spending weeks cleaning data first
- Rebuilding the same datasets repeatedly
- Dashboards that answer the wrong questions
How the program helps
- Stronger insight storytelling skills
- Direct access to curated lakehouse data
- Faster answers for business stakeholders
Practice use cases
- data exploration
- insight storytelling
- reporting
Design Fabric platforms that scale and govern
Apply workspace design, security, and governance patterns that keep Fabric estates reliable.
Workflow friction
- Sprawling workspaces without standards
- Unclear data ownership and access
- Governance added only after incidents
How the program helps
- Consistent workspace and capacity design
- Stronger security and governance posture
- Cleaner lineage across the analytics estate
Practice use cases
- platform design
- governance
- lineage
If your function is not listed, the labs adapt: the medallion pattern and Fabric skills transfer across analytics roles.
Prerequisites: Best suited for data engineers, BI developers, analysts, and architects who build or consume analytics pipelines. No prior Fabric experience is required; a basic familiarity with data concepts and SQL helps. The program adapts to each cohort's data stack and tools.
Data analyst to analytics platform lead
This path takes analysts and engineers from Fabric foundations through guided data practice to leading complete analytics platforms and defending design decisions.
One program that grows with analytics careers, from Fabric basics to confident platform delivery.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Choose the format that fits your teams. All modes are instructor-led and include the same guided data labs and capstone platform review.
Hybrid Training
Some learners join onsite while others connect live online, with data labs designed for both groups.
- Instructor-led sessions across both settings
- Guided data labs with paired activities
- Capstone reviews presented and critiqued live
- Consistent materials and assessment for everyone
Onsite Training
The instructor runs the full program at your site, with labs tuned to your data estate.
- Dedicated instructor at your location
- Labs tailored to your data platforms
- Direct collaboration across functions
- Private cohort for your teams
Live Virtual Training
Live virtual delivery with shared Fabric workspaces, breakout labs, and real-time instructor coaching.
- Live instructor-led sessions online
- Shared workspaces and guided lab access
- Breakout groups for team lab work
- Full capstone review delivered virtually
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share team size, preferred dates, and format, and we will send a detailed quote with scheduling options.
Yes. A short discovery call helps us match the labs and datasets to your team's analytics needs.
Yes. The full program runs live virtual, with breakout labs and shared Fabric workspaces.
Yes. Onsite delivery is available, with labs tuned to your data estate and tools.
The program runs 24 instructor-led hours, typically across three or four training days.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
Fabric data engineering builds on Azure basics and on pipeline skills from Data Factory. Your team learns both, then engineers lakehouses and warehouses on Fabric, and finally reports on that data in Power BI.
Why Choose Edstellar as Your Microsoft Fabric and Azure Data Engineering Training Provider
Edstellar delivers instructor-led Microsoft Fabric training shaped around your data estate, your tools, and the analytics your business runs on.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Datasets, pipeline patterns, and lab scenarios adapt to your data estate, so every exercise mirrors real team work.
Proven Methodology
A medallion-layer workflow, bronze to gold, that teams reuse on every Fabric analytics delivery.
Practice-Based Learning
Six guided data labs build muscle memory: ingestion, Spark transforms, modeling, and dashboard delivery.
Expert Trainers
Instructors engineer Fabric and Azure data platforms in production and coach teams through real pipeline decisions.
Global Scale
Sequential cohorts run across regions and time zones with consistent labs and assessment standards.
Measurable Outcomes
Capstone platform reviews and lab checkpoints show exactly what each learner can deliver.
Build Governed Fabric Analytics From Ingestion to Reconciled Reporting Models
Edstellar develops Fabric and Azure data engineering skills through a connected analytics platform. Participants ingest into OneLake, transform data with Spark and Delta tables, and build semantic models and reports. Orchestration and governance exercises complete the workflow, with assessment focused on traceable transformations, coherent access, and explained design choices.
- Step 01
Consult
We explore data engineering and reporting responsibilities, SQL familiarity, and pipeline experience to identify priorities in OneLake ingestion, lakehouse transformations, semantic models, and orchestration.
- Step 02
Plan
We connect Fabric foundations with ingestion pipelines, then develop Spark and Delta transformations, reporting models, and governed orchestration before demonstrating the complete analytics platform.
- Step 03
Align
We align Fabric and data engineering expertise with engineers, BI developers, analysts, and architects, calibrating SQL and modeling support to the cohort's existing data experience.
- Step 04
Customize
Sample source datasets and reporting questions reflect relevant analytics needs, enabling tailored bronze-to-silver transformations and gold-layer modeling without exposing confidential business records.
- Step 05
Execute
Participants build ingestion pipelines, transform Delta tables, publish semantic-model reports, and configure monitoring, receiving feedback on data flow, access choices, and operational dependencies.
- Step 06
Evaluate
We assess the Fabric platform for connected ingestion and reporting, explained transformation logic, suitable semantic models, and documented scheduling, monitoring, and access decisions.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
Microsoft Fabric & Azure Data Engineering Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request Microsoft Fabric and Azure Data Engineering Training for Your Team
Tell us about your team size, preferred format, and timelines, and we will design the right Microsoft Fabric & Azure Data Engineering program for your analytics teams.