TRAINING FOR COMPANIES

Master SQL and databases for professional applications

Hands-on training in relational modeling, advanced SQL, query optimization, indexing, and database management in production environments.

What is Databases and SQL?

Databases are at the core of virtually every business application. Poor modeling leads to slow queries, inconsistent data, and scalability issues that accumulate over time. At Q2BSTUDIO we form teams in relational databases and SQL with a practical and production-oriented approach, covering everything from modeling to advanced optimization.

The course begins with relational modeling fundamentals: entities, relationships, normalization, keys, constraints, and how to translate business requirements into a scheme that works in the long term. Understanding modeling is more important than memorizing SQL syntax: a good model simplifies queries; a bad model complicates them irremediably.

About SQL, we cover from basic queries (SELECT, WHERE, JOIN, GROUP BY, ORDER BY) to advanced queries (subqueries, CTEs, window functions, CASE, COALESCE, recursive queries). Each concept is practiced with progressive exercises on realistic data, not trivial two-column tables.

Optimization is a fundamental pillar: how to read an execution plan, when and how to create indexes, selectivity, composite indexes, covering indexes, impact of indexes on write, VACUUM/statistics and query patterns that do not scale. Optimization isn't magic: it's understanding what the engine is doing and giving it the information it needs.

We also cover production topics: transactions (ACID, isolation levels, deadlocks), backups and recovery, schema migrations, connection pooling, basic monitoring and security (roles, permissions, parameterized queries, SQL injection prevention).

The course is typically taught with PostgreSQL (the most versatile and popular) but is adapted to SQL Server, MySQL/MariaDB or the engine used by the team. Principles are transferable; The differences in syntax are explicitly noted.

At the end, the team knows how to model, consult, optimize and manage databases with professional criteria. We deliver exercises, practice datasets, optimization cheatsheet, and post-course follow-up.

FEATURES

Features of Databases and SQL

  • Relational Modeling

    Entities, relationships, normalization, keys and constraints.

  • SQL fundamentals

    SELECT, JOIN, GROUP BY, subqueries, INSERT, UPDATE, DELETE.

  • Advanced SQL

    CTEs, window functions, CASE, recursive, and complex queries.

  • Query optimization

    Execution plans, indexes, selectivity and performance patterns.

  • Transactions and Concurrence

    ACID, isolation levels, locks, deadlocks and good practices.

  • Schema migrations

    Model evolution without breaking data or availability.

    • Data Security

      Roles, permissions, parameterization and injection prevention.

    • Monitoring and maintenance

      Statistics, VACUUM, slow query log and basic alerts.

TECHNOLOGIES

  • SQL
  • Node.js
  • .NET

FREQUENTLY ASKED QUESTIONS

Frequently asked questions about Databases and SQL

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