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Training: Master Azure Stream Analytics: Real-Time Data Analysis for Enterprises

Ref: GFO484
8 people max.
From $3,465 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
3 days
Remote

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Learning objectives

  • Understand the principles of real-time data analysis
  • Configure and orchestrate streaming processing pipelines with Azure Stream Analytics
  • Develop complex analysis queries on event data streams
  • Integrate Azure Stream Analytics with multiple sources and sinks (IoT Hub, Event Hub, Power BI, databases)
  • Monitor, diagnose, and optimize Azure Stream Analytics jobs for production

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.

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.

Nawfel ABED
Nawfel ABED

Learni trainer · Cybersecurity expert

73%productivity gap
×3cost of inaction

Program

Module 1Fundamentals of Stream Analysis with Azure Stream Analytics

Overview of Azure solutions for real-time data processing. Streaming architecture concepts (sources, processing, outputs). Introduction to Azure Stream Analytics (ASA): associated services, use cases. Creating a first ASA job. Connecting to Event Hubs and IoT Hub.

Module 2Query Development & Integration

Introduction to the Stream Analytics query language inspired by SQL. Analytical functions: temporal, aggregates, windowing. Joining input streams/various sources. Cleaning and enriching data in real-time. Integration scenarios with Power BI (live visualization) and storage to Data Lake, SQL, Cosmos DB.

Module 3Deployment, Monitoring, and Optimization

Putting ASA jobs into production: scaling and partitioning configuration. Error handling and outlier events. Monitoring with Azure Monitor, alerts, and logs. Performance optimization and best architecture practices. Securing streams. Synthesis workshop: end-to-end processing of an industrial IoT chain.

Evaluation method

  • Multiple-choice quizzes at the beginning and end of the training to validate learning
  • Implementation of a mini data streaming project on the Azure platform
  • Collective review of practical exercises each day

Learning method

  • Step-by-step demonstrations on the Azure interface
  • Hands-on practice on real datasets
  • Scenario-based exercises on various business use cases
  • Digital course materials provided

Methods, materials and delivery

The Training: Master Azure Stream Analytics: Real-Time Data Analysis for Enterprises 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: Master Azure Stream Analytics: Real-Time Data Analysis for Enterprises 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: Master Azure Stream Analytics: Real-Time Data Analysis for Enterprises 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.

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.

FAQ

Frequently asked questions

How much does the Training: Master Azure Stream Analytics: Real-Time Data Analysis for Enterprises training cost?+
The individual price is $3,465 (USD). A detailed quote is sent within one business day.
How long is the Training: Master Azure Stream Analytics: Real-Time Data Analysis for Enterprises training?+
The training lasts 3 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Good understanding of the Azure environment, basic SQL knowledge, data modeling concepts
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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