Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Formation BigQuery - Analyser efficacement des données massives training are: Notions de base en SQL, familiarité avec les bases de données relationnelles, accès à un compte Google Cloud gratuit.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Formation BigQuery - Analyser efficacement des données massives training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Formation BigQuery - Analyser efficacement des… | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Formation BigQuery - Analyser efficacement des données massives training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Formation BigQuery - Analyser efficacement des données massives training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Formation BigQuery - Analyser efficacement des données massives training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Maîtriser les bases de BigQuery pour une analyse de données professionnelle en entreprise.

Développer des compétences en requêtes SQL optimisées sur datasets massifs.

Configurer des environnements BigQuery sécurisés et performants.

Implémenter des pipelines d'analyse pour des besoins business concrets.

Optimiser les coûts et performances des traitements BigQuery.

Certifier ses compétences en business intelligence via projets pratiques.

Intégrer BigQuery à des outils d'analyse comme Power BI ou Tableau.

Training program

Module 1Introduction à BigQuery : configuration et premiers datasets (Google Cloud, SQL basics, exploration données)

Découvrez BigQuery via une configuration rapide de votre environnement Google Cloud, importez vos premiers datasets réels, exécutez des requêtes SQL simples pour explorer des téraoctets de données en secondes. Pratiquez avec des exercices guidés sur des cas d'entreprise, visualisez résultats instantanés, recevez des feedbacks personnalisés pour consolider vos compétences novices en analyse professionnelle.

Module 2Requêtes BigQuery avancées : agrégations et jointures (fonctions SQL, window functions, optimisation queries)

Plongez dans les requêtes complexes avec agrégations, jointures sur tables massives, utilisez window functions pour analyses temporelles précises. Appliquez à des datasets e-commerce réels, mesurez performances, apprenez à partitionner données pour accélérer traitements. Exercez-vous sur scénarios business, générez rapports exploitables, intégrez compétences SQL à la formation professionnelle certifiante.

Module 3Pipelines et intégrations BigQuery : ETL et automatisations (Dataflow, scheduled queries, connexions BI)

Construisez des pipelines ETL avec BigQuery et Dataflow, automatisez requêtes programmées pour dashboards quotidiens. Intégrez à Power BI et Tableau pour visualisations dynamiques, testez sur données live d'entreprise. Gérez erreurs courantes, sécurisez accès, produisez livrables prêts-à-l'emploi, renforcez compétences en business intelligence via pratiques intensives.

Module 4Optimisation et projets BigQuery : coûts, performances, cas réels (slots management, ML basics, certification)

Optimisez coûts BigQuery via slots et caching, analysez performances avec EXPLAIN, intégrez ML simple pour prédictions. Réalisez un projet complet sur dataset client, déployez solution scalable, évaluez impacts business. Recevez certification Qualiopi, feedbacks experts, accédez ressources post-formation pour pérenniser compétences en analyse de données.