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Training Azure Synapse Analytics - Optimizing Big Data Analysis in the Enterprise

Ref: DVM347
10 people max.
5500€ 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 days
in-person

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Learning objectives

  • Master advanced Synapse workspaces to scale professional data analysis in the enterprise
  • Develop optimized Synapse pipelines integrating Spark and SQL for massive processing
  • Design secure and governed data lake architectures with Azure Synapse Analytics
  • Implement BI integration with Power BI and Tableau for interactive certified dashboards
  • Optimize Synapse performance through expert tuning and real-time monitoring
  • Deploy scalable certified analytics solutions for enterprise competitiveness

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 Architecture: Expert Configuration of SQL, Spark, and Serverless Pools (Data Lake Integration, Governance)

Discover the expert foundations of Azure Synapse Analytics by configuring dedicated workspaces, on-demand SQL pools, and scalable Spark pools to ingest petabytes of data from Azure Data Lake Gen2, implement security via RBAC and Purview, perform practical exercises on advanced semantic modeling, create your first Spark notebooks for complex ETL, and produce a deliverable architecture diagram validated by the trainer for immediate production deployment.

Module 2Azure Synapse Analytics Pipelines: Advanced ETL/ELT Development with Data Factory and Spark (Optimization of Massive Flows)

Dive into creating hybrid Synapse pipelines combining Data Factory for orchestration, Spark for distributed transformations, and SQL for analytics; process real 1 TB datasets via expert mapping data flows, integrate Azure Event Hubs event triggers, test resilience with advanced retry policies, conduct hands-on workshops on Synapse Studio debugging, and generate performance reports to validate efficiency in a certified enterprise context.

Module 3Queries and Optimization in Azure Synapse Analytics: Expert Spark/SQL Tuning (Indexing, Caching, Partitioning)

Optimize Synapse performance with advanced Spark queries using Delta Lake, SQL materialized views, and auto-scaling pools; analyze execution plans to reduce costs by 50%, implement dynamic partitioning on data lakes, integrate Machine Learning via Synapse ML for batch predictions, tackle practical challenges on TPC-DS datasets, measure gains via Synapse Monitoring, and design a deliverable benchmark demonstrating expertise in professional Big Data analysis.

Module 4BI Integration with Azure Synapse Analytics: Power BI and Tableau for Advanced Dashboards (Real-Time Visualization)

Connect Synapse to Power BI and Tableau for optimized direct and paginated datasets, develop composite datasets with expert semantic models, implement DirectQuery on Spark pools for live refresh, create advanced interactive DAX/MDX reports, integrate alerts and AI visuals, test via workshops on real client cases like retail analytics, deploy secure gateways, and produce a production-ready certifying dashboard prototype for the enterprise.

Module 5Governance and Deployment of Azure Synapse Analytics: CI/CD, Monitoring, and Enterprise Scaling (Certified Real-World Cases)

Master Synapse governance with Purview cataloging, lineage, and GDPR compliance; automate CI/CD via Azure DevOps and Git integration, configure advanced monitoring with Log Analytics and cost alerts, scale for hybrid cloud, simulate production deployments on finance/healthcare scenarios, review via expert QCM and capstone project, obtain validated skills certification, with a post-training roadmap for immediate ROI in professional data analysis.

Evaluation method

  • Technical quizzes and daily challenges to validate expert skills
  • Real-world case studies in groups for practical Synapse application
  • Final certifying project: complete architecture deployed and benchmarked

Learning method

  • Hands-on projects on real Big Data datasets and live Azure tools
  • Case studies from Fortune 500 companies using Synapse Analytics
  • Agile methods with continuous feedback from Microsoft-certified trainer
  • Access to Synapse Labs platform for 6 months post-training for independent practice

Methods, materials and delivery

The Training Azure Synapse Analytics - Optimizing Big Data Analysis in the Enterprise 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 - Optimizing Big Data Analysis in the Enterprise 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 - Optimizing Big Data Analysis in the Enterprise 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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