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.

What is the duration of the Training BigQuery - Analyze Petabytes in Real Time training?

The Training BigQuery - Analyze Petabytes in Real Time training takes place over 5 journées. The program is structured in progressive modules for optimal skill development.

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 Petabytes in Real Time training are: Advanced SQL mastery, Google Cloud Platform knowledge, Python for scripting and ETL. A preliminary interview validates your eligibility.

Is the training available in person?

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

Training BigQuery - Analyze Petabytes in Real Time | 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 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 Training BigQuery - 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 Training BigQuery - 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 access terms and deadlines

Training objectives

Master optimized BigQuery queries for massive enterprise datasets

Develop automated pipelines with BigQuery and Cloud Functions

Implement advanced ML analysis via BigQuery ML for professional insights

Design scalable BigQuery architectures with partitioning and clustering

Optimize BigQuery data governance and security (certifiable)

Deploy BI dashboards connected to BigQuery for rapid decisions

Training program

Module 1Advanced BigQuery Queries: SQL Optimization and Performance (slots, caching, materialized views)

Dive into writing complex queries on petabytes of data, test optimization techniques like dynamic partitioning and automatic clustering, analyze costs via the BigQuery interface, perform exercises on real enterprise datasets, create materialized views to accelerate daily reports, and validate performance gains with concrete benchmarks to boost your professional skills.

Module 2BigQuery ETL Pipelines: Scripting and Integrations (Dataflow, Cloud Storage, scheduled queries)

Build automated ETL pipelines connecting BigQuery to Cloud Storage and Dataflow, script transformations with standard SQL and JavaScript UDFs, schedule queries for real-time refreshes, apply to enterprise cases like e-commerce analysis, generate dynamic partitioned tables, and deploy a complete workflow with monitoring for increased productivity in this certifying training.

Module 3BigQuery ML: Integrated Machine Learning (AutoML models, hyperparameter tuning, predictions)

Integrate native BigQuery machine learning for scalable predictions, train regression and classification models on billions of rows without export, optimize hyperparameters via pure SQL, test on real business datasets like customer churn, deploy advanced feature engineering, visualize results with BigQuery Studio, and produce a deployable predictive model for immediate professional applications.

Module 4BigQuery Governance: Security and Costs (IAM, column-level security, slot reservations)

Secure your BigQuery datasets with granular IAM and column-level security, configure slot reservations for predictable budgets, audit access via Cloud Audit logs, simulate enterprise scenarios with multi-tenancy, implement data masking policies, analyze detailed billing for savings up to 50%, and document a complete governance strategy for GDPR compliance in a certifying context.

Module 5BigQuery BI Integrations: Dashboards and Automation (Looker Studio, APIs, CI/CD)

Connect BigQuery to Looker Studio and Tableau for real-time interactive dashboards, automate via REST APIs and Cloud Composer, integrate CI/CD with GitHub Actions for secure deployments, develop a capstone project on massive enterprise data, test end-to-end with monitoring, and finalize with a production-ready visualization portfolio, enhancing your expert skills.