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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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The Training BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis 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 Training BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis 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 Training BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis training is carried out through:
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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.
Introduction to Google Cloud Platform, overview of BigQuery's serverless architecture, concepts of datasets, tables, and schemas; Data types, partitioning, clustering, import/bulk loading from GCS, Data Studio & BigQuery UI. Exercise: creation and querying of a first dataset.
Advanced SQL functions in BigQuery, complex joins, partitioned and clustered tables; Storage and query optimization (best practices), quota management and cost estimation, monitoring of jobs and metadata; External data loading: streaming, Dataflow, ETL integration, access rights management. Hands-on labs: analysis and preparation of large data volumes.
BigQuery integration with BI tools (Data Studio, Looker); AI/ML integration (BigQuery ML), automation and orchestration via Cloud Composer and Dataform; Advanced security: RBAC, audit, encryption, GDPR. Implementation of a complete data pipeline: ingestion, transformation, analysis, export. Threaded workshop: building a mini analytics data lake and delivering dynamic dashboards.
Target audience
Analysts, data engineers, developers, and data project managers seeking to optimize the management, analysis, and utilization of massive data on Google Cloud Platform
Prerequisites
Mastery of SQL fundamentals and knowledge of basic Cloud concepts
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