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 Training BigQuery - Optimize Massive Analyses in 5 Days training are: Advanced SQL, basic BigQuery and Google Cloud Platform usage.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training BigQuery - Optimize Massive Analyses in 5 Days training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training BigQuery - Optimize Massive Analyses in... | 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 Training BigQuery - Optimize Massive Analyses in 5 Days 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 Training BigQuery - Optimize Massive Analyses in 5 Days 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 Training BigQuery - Optimize Massive Analyses in 5 Days 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 access terms and deadlines

Training objectives

Optimize complex SQL queries for maximum performance

Manage partitioned and clustered datasets efficiently

Master window analytic functions and advanced aggregations

Integrate BigQuery with Dataflow and Pub/Sub for scalable pipelines

Automate workflows via Scheduled Queries and APIs

Analyze costs and monitor production performance

Develop interactive dashboards with Connected Sheets

Training program

Module 1Advanced BigQuery Queries: SQL Optimization and Performance (practical exercises)

Dive into SQL query optimization on BigQuery, test slots and caching to accelerate massive analyses, practice complex joins and subqueries on real datasets, analyze execution plans via Query Explain, produce your first optimized reports handling terabytes of data without extra costs.

Module 2BigQuery Analytic Functions: Window Functions and Aggregations (real-world cases)

Explore RANK, LAG, NTILE for powerful temporal insights, chain exercises on sales and user logs, build materialized views for quick reuse, integrate ARRAY and STRUCT for structured data, generate analytics deliverables ready for BI tools like Looker.

Module 3BigQuery Dataset Management: Partitioning, Clustering (practical tools)

Configure date-partitioned and clustered tables, migrate existing datasets via guided exercises, measure cost reductions up to 70% on filtered queries, test batch/streaming ingestion, produce DDL scripts for future automations, while monitoring via Information Schema.

Module 4BigQuery Integrations: Dataflow, Pub/Sub, APIs (real pipelines)

Build scalable ETL by linking BigQuery to Dataflow for serverless transformations, simulate real-time streams via Pub/Sub, call REST APIs for automated exports, practice federated queries on GCS/Drive, deploy end-to-end pipelines with functional deliverables tested in real conditions.

Module 5BigQuery Best Practices: Monitoring, Costs, Final Projects (professional deliverables)

Analyze detailed billing and optimize budgets via slot reservations, implement Scheduled Queries for daily dashboards, review monitoring with Cloud Monitoring, finalize capstone project on client dataset, receive templates and certificates to boost your CV immediately.