What is the price of the Training SQL 2026 - Optimize Queries for Big Data training?

The price of the Training SQL 2026 - Optimize Queries for Big Data training is 5600€ 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 SQL 2026 - Optimize Queries for Big Data training?

The Training SQL 2026 - Optimize Queries for Big Data training takes place over 28 hours. 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 SQL 2026 - Optimize Queries for Big Data training are: Mastery of complex SQL queries, relational databases (PostgreSQL, MySQL, SQL Server) and basic optimization. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training SQL 2026 - Optimize Queries for Big Data training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training SQL 2026 - Optimize Queries for Big Data | 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

8 spots remaining for the next session

FormatParticipantsDateDetails

Which format do you prefer?

Methods, approaches, and teaching resources

The Training SQL 2026 - Optimize Queries for Big 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 SQL 2026 - Optimize Queries for Big 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 SQL 2026 - Optimize Queries for Big 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 advanced SQL 2026 analytical functions for professional analyses

Develop optimized queries handling massive data volumes in enterprise

Implement partitioning and indexing to boost certified SQL performance

Design secure distributed transactions with advanced isolation

Optimize complex joins and recursive CTEs for Big Data projects

Integrate SQL 2026 with JSON/XML for high-performance hybrid databases

Training program

Module 1Advanced SQL 2026 Queries: Window Functions and CTE (PostgreSQL, SQL Server)

Dive into SQL 2026 analytical functions such as ROW_NUMBER, RANK and LAG/LEAD, applied to real datasets with millions of rows; create recursive CTEs to model company hierarchies; hands-on exercises on optimizing window functions with PARTITION BY; real-world BI reporting cases; produce deliverable materialized views; performance tests before/after.

Module 2SQL 2026 Query Optimization: Indexing and Execution Plans (MySQL, Oracle)

Analyze EXPLAIN execution plans with native tools; configure composite, bitmap and GIN indexes to accelerate massive joins; simulate Big Data loads on virtual servers; refactor slow queries live with the trainer; measure gains up to 90% via benchmarks; develop automation scripts for performance monitoring; deliverable: optimization report on your professional database.

Module 3SQL 2026 Partitioning and Sharding: Horizontal Scalability (PostgreSQL Citus)

Implement range/hash partitioning on terabyte tables; configure distributed sharding with Citus or equivalents; manage migrations without downtime on real clusters; hands-on exercises for load balancing; test fault-tolerance with failure simulations; integrate partition-aware triggers; produce documented scalable architecture; enhance skills for enterprise cloud environments.

Module 4Advanced SQL 2026 Transactions: Concurrency and JSON (SQL Server, MySQL 8+)

Master SERIALIZABLE and snapshot isolation levels to avoid deadlocks in multi-user environments; manipulate native JSON with JSONB/path operators; hybrid relational/NoSQL queries; develop thread-safe stored procedures; high-concurrency e-commerce use cases; transaction security audits; finalize continuous project with simulated production deployment; obtain skills certification via quiz and defense.