Improve database efficiency with SQL and Database Performance Basics Training, a practical course designed for developers, database professionals, analysts, and IT teams who want to understand how SQL queries and database design affect application performance. The training provides a strong foundation in identifying and resolving common database performance issues.

SQL and Database Performance Basics Overview

The SQL and Database Performance Basics Training Course is designed to provide participants with a practical foundation in SQL querying, relational database concepts, and basic database performance optimization techniques.

This course introduces participants to database structures, SQL syntax, data retrieval, filtering, joins, aggregation, indexing concepts, query execution behavior, database design basics, and common causes of slow database performance. Participants will learn how to write efficient SQL queries, understand basic performance indicators, identify common query issues, and apply simple optimization techniques.

The course is suitable for beginners, junior developers, testers, business analysts, data analysts, support teams, and IT professionals who work with databases and need to understand both SQL fundamentals and performance-aware database usage.

 

Duration 3 Days – 21 hrs

 

Objectives

• Understand relational database concepts and database objects.
• Write basic and intermediate SQL queries.
• Retrieve, filter, sort, and aggregate data using SQL.
• Use joins to combine data from multiple tables.
• Understand primary keys, foreign keys, relationships, and constraints.
• Understand basic database design and normalization concepts.
• Identify common causes of slow SQL queries.
• Understand indexes and how they affect database performance.
• Read basic query execution concepts and performance indicators.
• Apply basic SQL query optimization techniques.
• Understand database performance monitoring fundamentals.
• Support troubleshooting of common database performance issues.

 

Target Audience 

• Performance testers
• QA testers and QA leads
• Test managers
• Test analysts
• Business analysts
• Software developers
• DevOps engineers
• Site reliability engineers
• Application support teams
• Systems administrators
• Database administrators
• Infrastructure and operations teams
• Project managers involved in application delivery
• Technical leads responsible for performance validation
• Organizations planning to implement structured performance testing practices

 

Prerequisites 

• Basic computer literacy
• Basic understanding of business applications or IT systems
• Basic familiarity with spreadsheets or structured data is helpful
• No prior SQL or database administration experience is required

 

Course Outline 

Day 1: SQL and Relational Database Fundamentals 

Module 1: Introduction to Databases

• What is a database?
• Purpose of database systems
• Relational database concepts
• Tables, rows, and columns
• Records and fields
• Database schemas
• Common database platforms
• Difference between databases, spreadsheets, and files

 Module 2: Database Objects and Relationships

• Tables
• Views
• Indexes
• Primary keys
• Foreign keys
• Constraints
• Relationships between tables
• One-to-one, one-to-many, and many-to-many relationships
• Basic entity relationship concepts

 Module 3: Introduction to SQL

• What is SQL?
• SQL standards and common variations
• SQL statement categories
• SELECT statements
• Filtering data using WHERE
• Sorting data using ORDER BY
• Removing duplicates using DISTINCT
• Using aliases
• Basic SQL syntax and formatting best practices

 Module 4: Filtering and Working with Data

• Comparison operators
• Logical operators: AND, OR, NOT
• BETWEEN, IN, LIKE, and IS NULL
• Working with text data
• Working with numeric data
• Working with date and time data
• Basic calculated columns
• Common filtering mistakes

   

Day 2: Querying, Joins, Aggregation, and Database Design Basics 

Module 5: Joining Tables

• Purpose of joins
• INNER JOIN
• LEFT JOIN
• RIGHT JOIN
• FULL OUTER JOIN overview
• Self-joins overview
• Joining multiple tables
• Understanding join conditions
• Common join mistakes and duplicate records

 Module 6: Aggregation and Grouping

• Aggregate functions
• COUNT, SUM, AVG, MIN, and MAX
• GROUP BY
• HAVING
• Aggregating by category, date, and status
• Combining filtering and grouping
• Common aggregation errors
• Reporting-oriented SQL queries

 Module 7: Subqueries and Basic Query Structure

• What is a subquery?
• Subqueries in WHERE clauses
• Subqueries in FROM clauses
• Common table expressions overview
• When to use subqueries
• Query readability and maintainability
• Breaking complex queries into smaller parts

 Module 8: Database Design Basics

• Basic database design principles
• Normalization overview
• Reducing data duplication
• Data integrity concepts
• Choosing appropriate data types
• Constraints and validation
• Relationship design considerations
• Impact of database design on performance

 

Day 3: Database Performance Basics and Query Optimization

 Module 9: Introduction to Database Performance

• What is database performance?
• Common signs of database performance problems
• Slow queries
• Blocking and locking overview
• High CPU, memory, disk, and network usage
• Poor indexing
• Large table scans
• Inefficient joins
• Application and database performance relationship

 Module 10: Indexing Fundamentals

• What is an index?
• How indexes improve data retrieval
• Clustered and non-clustered index overview
• Indexes on frequently searched columns
• Indexes on join columns
• Indexes and sorting
• Benefits and trade-offs of indexes
• Common indexing mistakes

 Module 11: Basic Query Optimization Techniques

• Selecting only needed columns
• Avoiding unnecessary SELECT *
• Using proper filtering conditions
• Avoiding functions on indexed columns where possible
• Writing efficient joins
• Reducing unnecessary subqueries
• Avoiding duplicate processing
• Using appropriate sorting and grouping
• Understanding query readability versus performance
• Comparing inefficient and optimized query examples

 Module 12: Query Execution and Performance Indicators

• What is a query execution plan?
• Basic execution plan concepts
• Table scan versus index seek overview
• Estimated cost overview
• Row counts and filtering impact
• Identifying expensive operations
• Understanding query duration
• Understanding logical reads overview
• Basic performance troubleshooting workflow

 Module 13: Database Monitoring and Troubleshooting Basics

• Monitoring database performance
• Common database performance metrics
• Active sessions and running queries
• Locks and blocking overview
• Long-running queries
• Error logs and database logs overview
• Database size and growth monitoring
• Coordinating with DBAs, developers, and support teams

 Module 14: Practical Workshop

• Write basic SELECT queries
• Filter, sort, and aggregate data
• Join multiple tables
• Identify query issues
• Review sample slow queries
• Suggest basic query improvements
• Identify possible indexing opportunities
• Read a basic execution plan
• Prepare a simple database performance checklist