BEM content 

(for all partners) 

 Title/name of the credential  Structured Query Language (SQL) Optimization and Database Performance 
Function of the micro-credentials / purpose   The aim of this microcredential is to improve the learners’ abilities in SQL optimization and advanced database management. It focuses on improving the efficiency and performance of SQL queries and databases in real-world applications. Learners will develop expertise in query optimization, indexing, stored procedures, and managing large-scale databases.  

 
Possible target groups  Individuals of all backgrounds and ages interested in advancing their career as data scientists  

 
Branch/sector of application  Information Technologies  

Data Management   

 
Fields of application / work environment  Database Performance Optimization 

IT Infrastructure Management 

System Architecture 

 
Typical work/professional tasks 

 

 Analyse and improve query performance; 

Identify and apply strategies to enhance the performance of large and complex databases; 

Simplify and standardise complex database operations; 

Database Maintenance; 

Solve data-performance issues through advanced SQL optimization techniques. 

 

 
Learning outcomes (personal and job related)  Knowledge  Skills  Competences 
Knowledge: 

In-depth understanding of SQL optimization techniques — including indexing, query rewriting, and analysing execution plans to improve performance.  

Knowledge of the architecture and implementation of stored procedures and views for optimising repetitive tasks. 

Proficiency in advanced database management functions, such as partitioning, window functions, and performance tuning, to enhance efficiency and scalability in large and complex databases. 

 

Skills: 

Ability to: 

  • Optimise SQL queries for improved performance; 
  • Use advanced SQL functions to ensure efficient querying in large and complex databases;  
  • Analyse and interpret SQL execution plans to identify and resolve performance bottlenecks; 
  • Develop and manage stored procedures and views to streamline and automate complex database operations; 
  • Enhance database performance by implementing indexing strategies, partitioning, and other optimization methods for handling large and complex databases. 

 

 

Learning outcomes should be formulated in commonly accepted way, see the link:https://eurspace.eu/ecvet/pedagogicalkit/framework-for-defining-learning-outcomes-knowledge-skills-competence/ 

Can be used the formulation format of National Qualification Framework descriptors, adjusting and applying that format for relevant job. 

 

 
Validation   criteria  procedures 
Validation will be conducted through a practical assignment. 

Procedure:  

Students will need to complete a final project where they analyse a complex, multi-table database, identify performance issues, and apply optimization techniques, including indexing and query rewriting. 

  

Criteria:  

Successful delivery of a project that demonstrates measurable performance improvements in query execution, supported by the use of optimization strategies. 

 

 
Recognised/accepted (documented by MoU)  Name of companies 

Target Group  

 
Provider(s)  Private EduTech companies, Vocational-Educational schools  

 
Additional information 

(if needed) 

 Entry level / prerequisites 

 

 Completed microcredential on SQL Fundamentals and Advanced Querying 

 

20 hours (10 theoretical + 1o practical) 
Possible duration (recommendation) 
Specific content (national) 

(if needed) 

 Position in the chain of educational programmes  2nd out of 2 micro credentials on SQL 
Reference to NQF 
Credits