What is the price of the Training DuckDB - Analyze Terabytes in Seconds training?

The price of the Training DuckDB - Analyze Terabytes in Seconds training is 4900€ HT. This includes access to all modules, training materials and personalized support. Funding solutions are available through OPCO.

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 DuckDB - Analyze Terabytes in Seconds training?

The Training DuckDB - Analyze Terabytes in Seconds training takes place over 28 heures. 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 DuckDB - Analyze Terabytes in Seconds training are: Advanced proficiency in SQL, Python or R, experience with large datasets and relational databases. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training DuckDB - Analyze Terabytes in Seconds training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training DuckDB - Analyze Terabytes in Seconds | 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 DuckDB - Analyze Terabytes in Seconds 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 DuckDB - Analyze Terabytes in Seconds 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 DuckDB - Analyze Terabytes in Seconds 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 DuckDB optimizations for ultra-fast professional analyses

Develop advanced data pipelines integrating DuckDB in enterprise settings

Implement DuckDB extensions for certified OLAP workloads

Design vector and ML queries with DuckDB 2026

Optimize memory management for terabytes of data

Integrate DuckDB with BI and Spark ecosystems for certified skills

Deploy scalable DuckDB solutions in production

Training program

Module 1DuckDB Optimizations: Advanced SQL Queries and Indexing (Execution Tools, Memory Configurations)

Dive into DuckDB's execution engines to accelerate your queries on massive datasets, configure PRUNE and ZONE MAPS indexes for x100 performance gains, test real enterprise cases with Parquet/ORC imports, perform comparative benchmarks against PostgreSQL, produce an optimization report immediately applicable to your professional projects, practical exercises on simulated terabytes to validate your skills.

Module 2DuckDB Extensions: Python/R and Spatial Integrations (Pandas, Spatial, HTTP)

Integrate DuckDB with Pandas and Polars for smooth data science workflows, deploy the Spatial extension for large-scale geo analyses, connect external APIs via HTTP for real-time data, develop custom Python UDFs for certified transformations, apply to a real enterprise case with automated ETL, generate interactive visualizations with exportable deliverables, transform your skills into immediate professional assets.

Module 3DuckDB 2026: Vector Search and Advanced ML (Embeddings, Integrated Models)

Explore DuckDB 2026 novelties for vector search on massive embeddings, integrate native ML models without process exits, optimize RAG pipelines for generative AI, test on multimodal datasets with hybrid SQL+vector queries, build a BI application prototype with real-time scoring, benchmark against Pinecone to demonstrate x10 cloud savings, produce a production-ready red thread project for enterprise.

Module 4DuckDB Deployment: Scalability and Monitoring in Enterprise (Docker, Kubernetes, Observability)

Deploy DuckDB in Docker containers for scalable environments, orchestrate with Kubernetes for high availability, implement monitoring with Prometheus and Grafana on query metrics, secure access with RBAC and encryption, migrate a legacy workload to DuckDB for 80% cost savings, finalize the red thread project with CI/CD, obtain a certified rollout plan to boost your professional skills.