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 Advanced BigQuery Training - Analyze Petabytes in Real Time training are: Advanced mastery of SQL, Google Cloud Platform experience, data warehousing and ETL practice.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Advanced BigQuery Training - Analyze Petabytes in Real Time training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Advanced BigQuery Training - Analyze Petabytes i... | 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.

Configure your training

Response within 24hNo commitment100% free

9 spots remaining for the next session

FormatParticipantsDateDetails

Which format do you prefer?

Methods, approaches, and teaching resources

The Advanced BigQuery Training - 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.

Teaching resources provided

To ensure the quality of the Advanced BigQuery Training - Analyze Petabytes in Real Time 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 Advanced BigQuery Training - Analyze Petabytes in Real Time 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 program

Module 1Day 1: Partitioning and Clustering: BigQuery Performance Optimization (partitioned tables, slots, costs).

Dive into table optimization via partitioning and clustering, test on real terabyte datasets, analyze cost impacts with Query Analyzer, perform practical exercises to reduce execution time by 70%, produce personalized reports, gain immediate mastery of advanced BigQuery tools.

Module 2Day 2: Advanced Queries: UDFs, SQL Scripting (user-defined functions, loops, conditions).

Create powerful JavaScript UDFs for complex transformations, script queries with variables and macros, apply to concrete business cases like e-commerce, measure performance gains via slot management, deliver reusable scripts, transform your analyses into irresistible competitive advantages.

Module 3Day 3: BigQuery ML and Integrations: Integrated Machine Learning (models, hyperparameters).

Develop native ML models without leaving BigQuery, train on massive data with simple SQL, optimize hyperparameters via predictive exercises, integrate APIs for real-time dashboards, test on anonymized customer datasets, obtain accurate predictions boosting ROI by 40%.

Module 4Day 4: Governance, Automation: Security, Scheduled Queries, APIs (end-to-end pipelines).

Configure IAM and column policies to secure petabytes, automate workflows with Scheduled Queries and Cloud Functions, deploy pipelines via APIs on real cases, simulate GDPR-compliant audits, finalize certifying project with interactive dashboard deliverable, leave as an expert ready to scale.