Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
Training Azure Data Factory - Expert ETL Orchestration and Data Integration
Trusted by — schools, companies and industrial groups
25,807 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.
Azure Data Factory training objectives
- Master Azure Data Factory to orchestrate professional ETL pipelines
- Develop advanced data flows and mappings for certified data integration
- Design scalable hybrid architectures in enterprise environments
- Optimize performance, monitoring, and costs with Azure Data Factory
- Implement expert data governance and security
- Deploy automated and resilient Big Data pipelines
Azure Data Factory curriculum: 4 modules over 4 days
Module 1 : Azure Data Factory Architecture: Modeling Advanced ETL Pipelines (datasets, linked services, triggers)
Dive into the Azure Data Factory environment, configure linked services for hybrid sources like SQL Server and Blob Storage, model parameterized datasets and complex pipelines, perform practical exercises on a real enterprise ETL case, test schedule and tumbling window triggers, produce your first functional pipeline with trainer validation for immediate implementation.
Module 2 : Azure Data Factory Data Flows: Expert ETL Transformations (mapping, wrangling, optimizations)
Master data flows for massive transformations, use mapping data flows with multiple sinks/sources like Azure Synapse and Databricks, apply joins, aggregations, and deduplications on large datasets, optimize via partitioning and caching, develop a complete ETL flow on real enterprise data, measure performance and generate execution reports for immediate productivity gains.
Module 3 : Advanced Azure Data Factory Integration: Hybrid Orchestration and Monitoring (activities, ForEach, If Condition)
Orchestrate complex workflows with control flow activities like ForEach and Switch, integrate REST APIs and Azure functions, manage resilient errors via retry policies, configure advanced monitoring with Azure Monitor and alerts, apply to the enterprise red thread project involving data lakes and warehouses, analyze logs for automatic tuning and scalability without interruption.
Module 4 : Azure Data Factory Security and Governance: Production Deployment and Cost Optimization (RBAC, Purview, Git integration)
Implement expert security with RBAC, managed identities, and encryption, integrate Microsoft Purview for data lineage, deploy via CI/CD Git and ARM templates, optimize costs via auto-scale and data preview, finalize the red thread project with a complete audit, prepare for certification, and export production-ready deliverables for secure digital transformation of your enterprise.
How Azure Data Factory skills are assessed
- Expert MCQ to validate Azure Data Factory skills at the end of the training
- Continuous evaluation through practical ETL pipeline exercises
- Defense of the red thread project on data orchestration in front of the trainer
How the Azure Data Factory course is taught
- Courses led by an active Azure Data Factory expert trainer
- Practical exercises on real enterprise Big Data cases
- Progressive red thread project for ETL integration throughout the training
- Complete course materials and resources provided to each participant
Azure Data Factory training: access and practical arrangements
The Training Azure Data Factory - Expert ETL Orchestration and Data Integration program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training Azure Data Factory - Expert ETL Orchestration and Data Integration program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training Azure Data Factory - Expert ETL Orchestration and Data Integration program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Our method
How Learni guarantees the quality of your Azure Data Factory training
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
Our social commitment
A school kit donated to a child for every training booked
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
FAQ
Azure Data Factory: frequently asked questions
Which tools are used in Azure Data Factory training?+
Hands-on work runs on datasets, linked services, triggers, mapping, wrangling and optimizations. Those tools come from the Azure Data Factory program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Azure Data Factory training?+
They can master Azure Data Factory to orchestrate professional ETL pipelines, develop advanced data flows and mappings for certified data integration and design scalable hybrid architectures in enterprise environments. Those are the stated objectives of the Azure Data Factory program at Expert level, checked by the end-of-session assessment.
What does the Azure Data Factory program cover, day by day?+
Day 1: Azure Data Factory Architecture: Modeling Advanced ETL Pipelines (datasets, linked services, triggers). Day 2: Azure Data Factory Data Flows: Expert ETL Transformations (mapping, wrangling, optimizations). Day 3: Advanced Azure Data Factory Integration: Hybrid Orchestration and Monitoring (activities, ForEach, If Condition). Day 4: Azure Data Factory Security and Governance: Production Deployment and Cost Optimization (RBAC, Purview, Git integration). The Azure Data Factory program runs over 4 days, delivered on site.
How is Azure Data Factory training assessed?+
Assessment relies on expert MCQ to validate Azure Data Factory skills at the end of the training, continuous evaluation through practical ETL pipeline exercises and defense of the red thread project on data orchestration in front of the trainer. Learni issues a completion certificate together with the individual assessment report at the end of the Azure Data Factory program, which an L&D team can file as evidence.
How much does Azure Data Factory training cost per participant?+
Azure Data Factory training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Azure Data Factory training take?+
4 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Azure Data Factory training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Azure Data Factory training?+
Mastery of Azure fundamentals, advanced SQL, traditional ETL, Python for data processing.
Is a certificate issued after Azure Data Factory training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Your professional training, anywhere
Let's build your Azure Data Factory learning path.
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Azure Data Factory training in your city
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