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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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30 free minutes with a training advisor — no commitment.
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Don't let this gap widen
Sans maîtrise avancée de Looker, vos dashboards saturent sous 1M lignes, gaspillant 25h/semaine en debugging selon Gartner.
Erreurs LookML faussent 15% des KPIs, menant à des décisions erronées coûtant 50k€/an en CA perdu.
62% des BI teams non formées rapportent échecs scalabilité (Forrester).
Risquez-vous pertes productivité et audits internes houleux ?
Investissez 35h pour rentabiliser x10 via analyses précises et automatisations fluides.
The Formation Looker Avancé - Maîtrisez LookML et dashboards BI pros 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.
To ensure the quality of the Formation Looker Avancé - Maîtrisez LookML et dashboards BI pros training, Learni provides the following 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.
The assessment of skills acquired during the Formation Looker Avancé - Maîtrisez LookML et dashboards BI pros training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Plongez dans LookML pour concevoir des modèles robustes, réalisez des joins multidimensionnels et des Persistent Derived Tables, testez avec l'IDE intégré via exercices pratiques sur datasets réels, produisez vos premiers views optimisés, gagnez en autonomie pour scaler vos analyses BI.
Apprenez à profiler et accélérer les requêtes avec caching stratégique, fusion de queries et indexing SQL, appliquez sur cas concrets de gros volumes de données, mesurez les gains en temps réel, transformez vos dashboards lents en outils fluides et réactifs pour décisions rapides.
Intégrez Git à Looker pour brancher, merger et déployer en continu, configurez pipelines CI/CD avec exercices sur repos partagés, gérez conflits et reviews, déployez vos modèles en prod sans downtime, boostez la collaboration équipe en mode agile.
Développez des embeds sécurisés dans apps tierces via SDK et API Looker, personnalisez UI avec Liquid et JS, testez sur cas clients réels comme CRM intégrés, générez iframes interactifs, offrez des insights BI natifs dans vos outils métiers.
Sécurisez accès avec row-level security et SSO, scalez pour petabytes via UDF et extensions, implémentez monitoring avancé, finalisez un projet complet avec audit perf, repartez certifié prêt pour environnements enterprise.
Target audience
Data analysts, BI developers et data engineers expérimentés en quête de montée en compétences sur Looker.
Prerequisites
Maîtrise de Looker Explore, SQL avancé, bases de LookML et Git.
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