Training BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis

$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: JBR358
8 people max.
$3,465
In-company rate: from $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of BigQuery for massive data analysis on Google Cloud, your queries become time-consuming and expensive, creating critical bottlenecks in data pipelines.

  • Companies lose an average of 30% of their annual cloud budget – more than 50 000 € for a volume of 1 Po – due to poorly optimized queries and unexpected cost overruns.

  • 60% of data latency incidents and 25% of potential leaks are linked to poor data warehouse management, exposing the company to loss of competitiveness and major regulatory risks.

  • Every month without expertise aggravates these losses, directly compromising growth and the careers of data teams.

Alicia DIOH, Managing Director · Finance, AI & Management trainer
Alicia DIOH

Managing Director · Finance, AI & Management trainer

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

41,225 programs · 25 countries

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  • Equans
  • EDF
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  • Microsoft
  • Atos

Every program built with a dedicated engineer

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

BigQuery training objectives

  • Understand BigQuery's architecture and key concepts
  • Load, explore, and structure large volumes of data
  • Perform advanced SQL analyses in BigQuery
  • Optimize performance and cost management
  • Integrate BigQuery into a modern data pipeline (GCP, ETL, BI, Machine Learning)
  • Secure, monitor, and automate BigQuery operations

Program

BigQuery curriculum: 3 modules over 3 days

Module 1 : Fundamentals and Getting Started with BigQuery

Introduction to Google Cloud Platform, overview of BigQuery's serverless architecture, concepts of datasets, tables, and schemas; Data types, partitioning, clustering, import/bulk loading from GCS, Data Studio & BigQuery UI. Exercise: creation and querying of a first dataset.

Module 2 : Advanced Usage: SQL, Optimization, and Performance Management

Advanced SQL functions in BigQuery, complex joins, partitioned and clustered tables; Storage and query optimization (best practices), quota management and cost estimation, monitoring of jobs and metadata; External data loading: streaming, Dataflow, ETL integration, access rights management. Hands-on labs: analysis and preparation of large data volumes.

Module 3 : Business Use Cases, Automation, and Industrialization on GCP

BigQuery integration with BI tools (Data Studio, Looker); AI/ML integration (BigQuery ML), automation and orchestration via Cloud Composer and Dataform; Advanced security: RBAC, audit, encryption, GDPR. Implementation of a complete data pipeline: ingestion, transformation, analysis, export. Threaded workshop: building a mini analytics data lake and delivering dynamic dashboards.

How BigQuery skills are assessed

  • Intermediate MCQs for each module
  • Guided team-based case study
  • Validation of practical skills through a mini-project on a real-world case

How the BigQuery course is taught

  • Interactive theoretical presentations
  • Hands-on practical scenarios and workshops
  • Business case studies and experience sharing
  • Course materials and supplementary resources provided (tutorials, sample scripts, FAQ)

BigQuery training: access and practical arrangements

The Training BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Our method

How Learni guarantees the quality of your BigQuery training

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

BigQuery: frequently asked questions

What can participants do after BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis training?+
They can understand BigQuery's architecture and key concepts, load, explore, and structure large volumes of data and perform advanced SQL analyses in BigQuery. Those are the stated objectives of the BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis program at Intermediate level, checked by the end-of-session assessment.
What does the BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis program cover, day by day?+
Day 1: Fundamentals and Getting Started with BigQuery. Day 2: Advanced Usage: SQL, Optimization, and Performance Management. Day 3: Business Use Cases, Automation, and Industrialization on GCP. The BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis program runs over 3 days, delivered on site.
How is BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis training assessed?+
Assessment relies on intermediate MCQs for each module, guided team-based case study and validation of practical skills through a mini-project on a real-world case. Learni issues a completion certificate together with the individual assessment report at the end of the BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis program, which an L&D team can file as evidence.
How much does BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis training cost per participant?+
BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis training take?+
3 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis training?+
Mastery of SQL fundamentals and knowledge of basic Cloud concepts.
Is a certificate issued after BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for BigQuery: Mastering Google's Cloud Data Warehouse for Large-Scale Data Analysis training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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