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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 - Analyze Petabytes in Real Time 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 - Analyze Petabytes in Real Time 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 - Analyze Petabytes in Real Time 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.
Dive into complex BigQuery queries with analytic windows, massive joins, and custom UDFs. Optimize via dynamic partitioning and intelligent clustering to reduce costs by up to 70%. Perform practical exercises on real petabyte datasets, analyze execution profiles to identify bottlenecks, produce production-ready performant reports for enterprise, and receive code review by expert trainer.
Build automated BigQuery ETL pipelines integrating Dataflow for massive ingestion. Implement programmable SQL scripts and scheduled queries for continuous workflows. Discover BigQuery ML for predictive models without leaving the warehouse. Apply regression and clustering on concrete business cases like churn prediction. Test integrations with Pub/Sub streaming and generate deployable deliverables for professional teams.
Master BigQuery governance via granular IAM, column-level security, and data lineage for GDPR compliance. Deploy advanced Looker Studio dashboards connected to BigQuery. Simulate high availability scenarios with slot reservations. Integrate Cloud Logging monitoring for proactive alerts. Finalize the red thread project on your enterprise dataset, export IaC Terraform configurations ready for production, and complete certifying skills evaluation.
Target audience
Data engineers, BI analysts, data architects for enterprise upskilling
Prerequisites
Advanced SQL mastery, data warehouse experience, Google Cloud Platform basics
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