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 - Effectively Analyze Massive Data training are: Basic SQL knowledge, familiarity with database concepts and CSV/JSON file manipulation. A preliminary interview validates your eligibility.

Is the training available in person?

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

Training BigQuery - Effectively Analyze Massive… | 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 - Effectively Analyze Massive Data 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 - Effectively Analyze Massive Data 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 - Effectively Analyze Massive Data 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 the fundamentals of BigQuery for professional data analysis

Develop optimized SQL queries in the BigQuery environment

Configure datasets and tables for enterprise certification projects

Implement analysis pipelines with integrated Google Cloud tools

Analyze massive data volumes in real-time for business insights

Optimize BigQuery query costs and performance in production

Training program

Module 1BigQuery Fundamentals: Discover the console and first datasets (GCP Console, projects, quotas)

Dive into the BigQuery universe via the Google Cloud Platform console, create your first professional project and configure secure datasets, import data from CSV or Cloud Storage with practical exercises on real business cases, explore the SQL Editor interface to run your first simple queries, produce an initial data analysis report and receive personalized feedback from the trainer to consolidate your skills from day one.

Module 2BigQuery SQL Queries: Master basics and advanced functions (SELECT, JOIN, WINDOW functions)

Master native BigQuery SQL queries by practicing complex SELECT statements on large datasets, integrate multi-table JOINs and analytic functions like ROW_NUMBER or LAG for powerful aggregations, apply these techniques to concrete sales analysis or application logs cases, optimize your queries with EXPLAIN to avoid common pitfalls, generate saved views ready for business use and export results to Sheets for immediate visualization.

Module 3BigQuery Data Management: Partitioned tables and clustering (LOAD, partitioning, clustering)

Learn to load massive data into BigQuery using optimized LOAD JOB commands, create date-partitioned and key-clustered tables to boost performance, handle flexible schemas with exercises on real enterprise JSON files, test basic ETL transformations with SQL scripting, produce a scalable data pipeline and measure the impact on query costs, thereby consolidating your skills for production environments.

Module 4Advanced BigQuery Analysis: BI and ML integration (Data Studio, BigQuery ML)

Integrate BigQuery with Google Data Studio for interactive dashboards by linking datasets to professional visualizations, explore BigQuery ML for simple no-code Python predictive models, practice linear regressions and clustering on your ongoing project data, analyze business trends with temporal queries, export actionable insights and collaborate in real-time on shared reports, transforming your skills into immediate business value.

Module 5BigQuery Optimization and Deployment: Monitoring and security (slots, IAM, scheduled queries)

Optimize BigQuery performance by managing reservation slots and monitoring jobs via Cloud Logging, secure your datasets with IAM and row-level security on sensitive enterprise cases, automate scheduled queries for recurring reports, test real cost scenarios and reduce bills by an average of 30%, deploy a final certification project with full audit, receive your production-ready deliverable and plan your post-training skill progression.

Evaluation method

Multiple-choice quiz to validate learning outcomes at the end of the BigQuery training
Continuous assessment through practical exercises on real datasets
Defense of the ongoing project on massive data analysis