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Training Azure Synapse Analytics - Mastering Data Warehouse and Big Data

Ref: TYM170
10 people max.
5250 € 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
5 journées
distanciel

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Learning objectives

  • Master Azure Synapse Analytics to design professional data warehouses
  • Develop scalable ETL pipelines with Synapse Pipelines and certifiable skills
  • Analyze Big Data volumes via Spark pools for rapid enterprise insights
  • Optimize SQL and serverless performance for ultra-efficient queries
  • Implement data governance and security in Azure environments
  • Deploy Big Data solutions integrated with Power BI for professional training
  • Acquire practical skills in modern, certifiable data lakehouse architectures

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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Azure Synapse Analytics Fundamentals: Workspace Configuration and SQL Pools (Data Lake Integration, IAM Security)

Create a dedicated Azure Synapse Analytics workspace, get hands-on with serverless and dedicated SQL pools to ingest structured data, practical exercises on exploring enterprise datasets using advanced T-SQL, configure integrations with Azure Data Lake Gen2, build a first simple data warehouse with star schema modeling, performance testing, and documentation of setups for immediate production deployment.

Module 2Azure Synapse Analytics Pipelines: Automated ETL and Data Flows (Synapse Pipelines Tools, Mapping Data Flows)

Design complex ETL pipelines with Synapse Pipelines to orchestrate massive data flows, use mapping data flows to transform and clean Big Data volumes, hands-on workshops on real enterprise cases such as legacy-to-cloud migrations, interactive debugging with integrated monitoring, produce scalable deliverables ready for automation via triggers, immediate valorization of professional data engineering skills.

Module 3Big Data in Azure Synapse Analytics: Spark Pools and Notebooks (ML Analysis, Distributed Processing)

Deploy Spark pools in Azure Synapse Analytics to process terabytes of unstructured data, write PySpark and Scala notebooks for advanced analyses, exercises on ML integration with Azure ML, real-world cases optimizing Big Data jobs to reduce costs by 40%, real-time collaboration on shared notebooks, generate actionable insights reports for business teams, full mastery of lakehouse paradigms.

Module 4Azure Synapse Analytics Optimization: Data Warehouse and Query Performance (Indexing, Caching, Materialized Views)

In-depth analysis of execution plans in Azure Synapse Analytics to tune SQL queries on massive data warehouses, implement columnstore indexes and materialized views to accelerate queries by 10x, workshops on intelligent caching and adaptive partitioning, practical enterprise cases with real datasets, reduce compute costs via auto-scaling, produce before/after benchmarks with detailed reports, skills ready for critical projects.

Module 5Governance and Deployment in Azure Synapse Analytics: Security, Monitoring, and Power BI (End-to-End Analytics Integration)

Implement data governance with Purview and RBAC in Azure Synapse Analytics, configure advanced monitoring via Azure Monitor and custom alerts, seamless integration with Power BI for interactive Big Data dashboards, CI/CD deployment exercises with Git integration, incident simulation and rapid resolutions, finalize a complete ongoing project with knowledge certification, post-training support for successful enterprise adoption.

Evaluation method

  • Multiple-choice quiz to validate acquired knowledge on Azure Synapse Analytics at the end of the training
  • Continuous evaluation through practical exercises and ETL pipelines
  • Defense of the ongoing project data warehouse before the expert trainer

Learning method

  • Courses led by an active professional Azure expert trainer
  • Practical exercises on real enterprise Big Data cases and massive datasets
  • Progressive ongoing project on Azure Synapse Analytics data warehouse
  • Complete course materials and cloud resources provided to each participant

Methods, materials and delivery

The Training Azure Synapse Analytics - Mastering Data Warehouse and Big Data 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 Synapse Analytics - Mastering Data Warehouse and Big Data 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 Synapse Analytics - Mastering Data Warehouse and Big Data 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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