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 - Analyze Terabytes of Data Quickly training are: Advanced mastery of SQL, experience on Google Cloud Platform, management of large datasets and ETL. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training BigQuery - Analyze Terabytes of Data Quickly training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training BigQuery - Analyze Terabytes of Data Qu... | 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 - Analyze Terabytes of Data Quickly 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 - Analyze Terabytes of Data Quickly 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 - Analyze Terabytes of Data Quickly 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

Master advanced BigQuery SQL queries for scalable professional analyses

Optimize BigQuery job performance and costs on petabytes of data

Implement automated ETL pipelines with Dataflow and BigQuery ML

Configure governance, security and sharing of certified datasets

Develop real-time analyses via Streaming Inserts and Subscriptions

Integrate BigQuery with Looker Studio for interactive enterprise dashboards

Deploy predictive ML models with BigQuery ML in production

Training program

Module 1Advanced BigQuery Queries: Optimize SQL on Massive Datasets (window functions, CTE, partitioning)

Dive into complex BigQuery queries by practicing advanced analytic functions like ROW_NUMBER and LAG, building recursive CTEs for data hierarchies, partitioning and clustering to accelerate scans, exercises on real 1 TB datasets from companies, manual slot optimization with cost analysis, production of reusable materialized views, and personalized code review to validate your professional skills.

Module 2BigQuery Performance and Costs: Tuning Jobs and Slots (query plans, caching, BI Engine)

Learn to decipher execution query plans in BigQuery Console, enable caching and BI Engine for x10 accelerations on BI queries, dynamic slot management to avoid overcosts, enterprise workload simulations with traffic peaks, refactoring slow queries via approximations and sampling, monitoring via Cloud Monitoring to alert on waste, and development of a quantified optimization plan applicable immediately to your certified projects.

Module 3BigQuery Pipelines and ML: Integrate Dataflow and BigQuery ML (serverless ETL, predictive models)

Build automated ETL pipelines linking Dataflow to BigQuery for batch and streaming ingestion, creation of external tables from GCS and Pub/Sub, training native ML models with BigQuery ML on raw data, hyperparameter tuning and cross-validation in a few SQL statements, deployment of forecasts for sales or churn, end-to-end tests on concrete enterprise cases, and generation of Terraform scripts for reproducible infrastructure as code in teams.

Module 4BigQuery Governance and Integrations: Security, Looker and Real-Time (IAM, authorized views, Streaming)

Master BigQuery security via IAM policies, authorized views and column-level security for GDPR compliance, configuration of cross-project shared datasets, seamless integration with Looker Studio for live dashboards, implementation of Streaming Inserts for real-time analyses on IoT or logs, collaborative exercises in multi-user mode, governance audit with Data Catalog, and finalization of an ongoing project deployed with monitoring, ready for production in certified enterprise.