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Training BigQuery 2026 - Analyze Petabytes in Real Time

Ref: JXY801
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 journées
distanciel

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Learning objectives

  • Master advanced BigQuery 2026 SQL queries for professional analyses
  • Develop optimized data pipelines boosting enterprise skills
  • Design integrated certifying ML models in BigQuery training
  • Optimize petabyte storage costs using expert techniques
  • Implement scalable BI automations for data teams
  • Deploy real-time dashboards enhancing professional 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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced BigQuery 2026 Queries: Optimized SQL, Window Functions, Scripting (Petabyte Exercises)

Dive into complex BigQuery 2026 queries through practical exercises on massive datasets, master window functions for precise temporal analyses, UDF scripting for custom logic, real e-commerce cases analyzing annual sales, optimize massive joins reducing execution time by 70%, deliverables include production-ready annotated queries, alternation of theory and live demonstrations on GCP platform.

Module 2BigQuery 2026 ETL Pipelines: Dataflow Integration, Slots Management (Automated Pipeline Deliverables)

Build advanced ETL pipelines in BigQuery 2026 with serverless Dataflow, manage slots for infinite scalability, exercises on real-time IoT streams ingesting terabytes per day, integrate Pub/Sub streaming, monitor costs via Billing API, banking fraud detection case, produce orchestrated Airflow DAGs, reduce latency by 50% via dynamic partitioning, live debugging support from coach.

Module 3ML in BigQuery 2026: BigQuery ML, Vertex AI Hybridization (Deployed Predictive Models)

Develop native ML models in BigQuery 2026 without leaving the tool, train via SQL on petabytes, hybridize with Vertex AI for advanced hyperparameters, exercises on real customer churn prediction, evaluate accuracy via integrated cross-validation, deploy scalable predictive endpoints, retail sales forecasting case, optimize automatic feature engineering, deliverables: reusable enterprise SQL-ML scripts.

Module 4BigQuery 2026 Performance Optimization: Clustering, Materialized Views, BI Engine (Cost Benchmarks)

Optimize BigQuery 2026 queries via column clustering, auto-refreshed materialized views, sub-second BI Engine caching, before/after benchmark exercises on application logs, reduce slot usage by 40%, integrate Looker Studio visualizations, cybersecurity log analytics case, analyze query plans with EXPLAIN, produce cost/performance ROI reports, personalized production tuning coaching.

Module 5BigQuery 2026 Security & Governance: IAM Policies, Column-Level Security, Audit Logs (Certifying Project)

Secure BigQuery 2026 datasets with granular IAM, column-level encryption, automatic DLP scanning, multi-tenant enterprise setup exercises, export BigQuery audit logs to GCS, integrate SentinelOne compliance, final project: secured business KPI dashboard, peer code and data review, deploy on GCP production-like environment, obtain skills certification via practical quiz, 3 months post-training support.

Evaluation method

  • Daily interactive quizzes with 80% success rate
  • Final project: deployed ML pipeline
  • Qualiopi certifying skills attestation

Learning method

  • 70% hands-on exercises with real datasets
  • Fortune 500 company case studies
  • Unlimited interactive remote platform
  • Coach support for 6 months post-training

Methods, materials and delivery

The Training BigQuery 2026 - Analyze Petabytes in Real Time 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 BigQuery 2026 - Analyze Petabytes in Real Time 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 BigQuery 2026 - Analyze Petabytes in Real Time 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

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TomFormation AWS — Cloud Practitioner
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« 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
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« la formation dev etait intense mais grave bien. merci Anthony Khelil »

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AmbreDWWM - Développement Web & Mobile React
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« 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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