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Training Azure Data Factory - Orchestrating Scalable Data Pipelines

Ref: OLI930
10 people max.
4900€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
4 journées
distanciel

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Learning objectives

  • Master advanced Azure Data Factory pipelines for professional data flows
  • Develop complex and scalable data integrations in enterprise settings
  • Optimize ETL performance with Data Flows and custom activities
  • Implement monitoring, error handling, and certified security
  • Design hybrid architectures Azure Data Factory-Synapse-Databricks
  • Deploy pipelines to production with CI/CD and data governance
  • Acquire certifying skills to boost data engineering career

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Azure Data Factory Pipelines: Advanced Design and Data Mapping (Copy Activity, Data Flows, Integration Runtime)

Dive into creating complex pipelines with Azure Data Factory, configure Copy activities to migrate large volumes of data from on-premise or cloud sources, master Data Flows for scalable serverless transformations, integrate hybrid Integration Runtime for secure connectors, perform practical exercises on real enterprise datasets such as SQL Server to Blob Storage, build and test your first validated ETL pipeline with dynamic schemas, gain autonomy for immediate professional projects.

Module 2Advanced State Management in Azure Data Factory: Triggers, Parameters, and Orchestration (ForEach, Until, Lookup)

Deepen dynamic orchestration of Azure Data Factory pipelines via event-based and scheduled triggers, parameterize global variables and expressions for adaptive conditional flows, implement ForEach and Until loops for massive batch processing, use Lookup and Get Metadata for intelligent data-driven decisions, apply to concrete enterprise cases like CRM synchronization to data lake, develop a multi-flow orchestrator pipeline with custom logging, measure robustness through error simulations, transform your skills into concrete business assets.

Module 3Performance Optimization in Azure Data Factory: Monitoring and Tuning (Debug, Tumbling Window, Costs)

Optimize your Azure Data Factory pipelines for high performance and low cost, enable Debug mode for rapid iterations, tune partitions and automatic scaling in Data Flows for terabytes of data, configure Tumbling Window triggers for near real-time processing, implement advanced monitoring with Azure Monitor and custom alerts, analyze CPU/memory metrics via e-commerce case studies with load spikes, reduce Azure bills by 40% through practical optimizations, generate performance reports and improvement plans, become an expert in cost-effective data operations for the enterprise.

Module 4Advanced Integrations in Azure Data Factory: Security, Synapse, and CI/CD (RBAC, Git, DevOps)

Integrate Azure Data Factory with the Azure ecosystem for end-to-end solutions, connect Synapse Analytics and Databricks for unified analytics, secure with RBAC, Managed Identity, and column encryption, deploy via Azure DevOps and Git for collaborative CI/CD, migrate legacy pipelines to reusable ARM templates, test on hybrid red thread project with complete data governance, produce production-ready deliverables including security audits and documentation, certify your skills for scalable and secure enterprise data transformations.

Evaluation method

  • Certifying MCQ to validate Azure Data Factory skills
  • Continuous evaluation through practical pipeline exercises
  • Defense of red thread ETL project deployed in production simulation

Learning method

  • Courses led by active Azure Data Factory expert trainer
  • Practical exercises on real enterprise data cases and massive datasets
  • Progressive red thread project pipelines from day 1 to final deployment
  • Complete course materials, ARM templates, and Azure lab access provided

Methods, materials and delivery

The Training Azure Data Factory - Orchestrating Scalable Data Pipelines program is delivered onsite or remote (blended-learning, e-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 - Orchestrating Scalable Data Pipelines 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 - Orchestrating Scalable Data Pipelines 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

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