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SQL & Database Management

SQL & Database Management

1 Weeks
Professional Level
Certificate Included
Course Content

Available Events

Available Events
CityDatePriceStatus
LondonUnited Kingdom
September 13, 2026
£4,600
Confirmed date
LisbonPortugal
September 19, 2026
€4,400
Confirmed date
ParisFrance
October 8, 2026
€4,600
Confirmed date
Kuala LumpurMalaysia
October 16, 2026
€4,400
Confirmed date
GenevaSwitzerland
October 23, 2026
€4,600
Confirmed date
OnlineOnline
October 27, 2026
€1,790
Confirmed date
SingaporeSingapore
October 28, 2026
€4,800
Confirmed date
IstanbulTurkey
November 14, 2026
€3,900
Confirmed date
TunisTunis
November 21, 2026
€3,900
Confirmed date

Course Information

Duration

1 Weeks

Category

Training & Development

Level

Professional Level

Certificate

Included

INTRODUCTION

Databases are at the heart of nearly every modern organization, supporting customer systems, financial platforms, reporting dashboards, enterprise applications, and operational workflows. SQL remains one of the most important skills for professionals who need to access, analyze, manage, and control structured data efficiently. This course provides a clear and practical path for understanding relational database management from foundational concepts to applied professional usage. Participants begin by learning how data is organized, stored, related, retrieved, modified, secured, and optimized within database systems. The program explains core database management principles in a structured way that supports both beginners and professionals seeking deeper confidence. It also connects SQL skills to business intelligence, data governance, software development, system administration, and digital transformation initiatives. Learners will practice writing queries, filtering records, joining tables, aggregating data, building views, improving performance, and managing data integrity. The course avoids unnecessary complexity while maintaining professional depth suitable for corporate training environments. It prepares participants to work more effectively with databases, communicate better with technical teams, and make stronger data-driven decisions.

COURSE OBJECTIVES

Participants will achieve the following objectives by this course:

  • Understand relational database concepts and how structured data supports business operations.
  • Write accurate SQL queries to retrieve, filter, sort, and analyze database records.
  • Use joins to combine data from multiple related tables effectively.
  • Apply aggregation, grouping, and analytical functions for meaningful reporting outputs.
  • Create and manage tables, constraints, keys, relationships, views, and indexes.
  • Design normalized database structures that reduce redundancy and improve data integrity.
  • Perform data insertion, updating, deletion, and transaction control safely.
  • Improve query performance through indexing, execution awareness, and optimization practices.
  • Apply database security, access control, backup, and recovery principles.
  • Use SQL and database management skills in real business and technology scenarios.

TARGET AUDIENCE

This program targets a professional audience seeking to improve knowledge and skills:

  • Data analysts, business analysts, reporting specialists, software developers, system administrators, database coordinators, information technology professionals, project managers, digital transformation teams, operations professionals, finance teams, compliance staff, quality teams, and professionals working with enterprise systems.
  • It is also suitable for beginners who need practical SQL training, employees responsible for data extraction, professionals preparing for database-related roles, and managers who need a clearer understanding of database management, data quality, structured reporting, and data-driven decision-making.

COURSE OUTLINE

Day 1: Relational Database Foundations and Core SQL Concepts

  • Understand database systems and their organizational business value.
  • Explore relational database structures, tables, rows, and columns.
  • Learn primary keys, foreign keys, and table relationships.
  • Understand database schemas and structured data organization.
  • Identify common database management system components.
  • Write basic SQL statements using standard syntax rules.
  • Retrieve records using select statements and column selection.
  • Apply filtering conditions using where clauses effectively.
  • Sort query results using order by expressions.
  • Practice simple queries on business-oriented sample datasets.

Day 2: Data Retrieval, Filtering, Joins, and Reporting Queries

  • Use comparison operators for accurate data filtering.
  • Apply logical operators to combine multiple query conditions.
  • Work with pattern matching and range-based filtering.
  • Understand null values and proper null handling.
  • Combine tables using inner joins and outer joins.
  • Use aliases to improve query readability and structure.
  • Aggregate data with count, sum, average, minimum, maximum.
  • Group records using group by for summarized reporting.
  • Filter grouped results using having clauses.
  • Build practical reporting queries for business insights.

Day 3: Database Design, Normalization, and Data Integrity

  • Understand database design principles and planning requirements.
  • Identify entities, attributes, relationships, and business rules.
  • Create logical data models for structured systems.
  • Apply normalization to reduce redundancy and inconsistency.
  • Understand first, second, and third normal forms.
  • Define constraints to protect database accuracy and integrity.
  • Create tables using appropriate data types and rules.
  • Manage primary keys, foreign keys, and unique constraints.
  • Understand relationship cardinality and referential integrity.
  • Review common design mistakes in database projects.

Day 4: Data Management, Transactions, Views, and Security

  • Insert new records using structured SQL statements.
  • Update existing records safely with controlled conditions.
  • Delete records while preventing accidental data loss.
  • Understand transactions, commits, rollbacks, and consistency.
  • Use views to simplify reporting and data access.
  • Understand stored logic concepts and reusable database objects.
  • Apply permissions and access control for database security.
  • Protect sensitive data through role-based access principles.
  • Understand backup, recovery, and continuity responsibilities.
  • Practice controlled data management scenarios in databases.

Day 5: Performance Optimization, Administration, and Practical Applications

  • Understand query performance and database response factors.
  • Use indexes to improve data retrieval efficiency.
  • Identify inefficient queries and common performance issues.
  • Read basic execution behavior and query processing logic.
  • Apply optimization techniques for joins and filters.
  • Understand database maintenance and monitoring fundamentals.
  • Connect SQL skills to analytics and business intelligence.
  • Manage database quality through validation and governance practices.
  • Review real workplace database management case scenarios.
  • Complete a practical SQL and database management exercise.

COURSE DURATION

Duration: 1 Weeks

Duration: 5 days. Format: Classroom, online, or blended delivery. The course can be delivered as an intensive professional program or customized for corporate teams based on participant background, technical level, business systems, industry requirements, reporting needs, and organizational data management priorities.

INSTRUCTOR INFORMATION

The training will be delivered by a team of experts specialized in database management, SQL development, data analysis, business intelligence, information systems, and enterprise technology operations, with practical experience in designing, querying, maintaining, securing, and optimizing relational databases for professional and organizational environments.

FREQUENTLY ASKED QUESTIONS

No, the course begins with foundations and gradually develops practical SQL and database management skills.

CONCLUSION

SQL & Database Management provides participants with essential skills for working confidently with structured data and relational database systems. The course combines practical query writing, database design, data management, security awareness, and performance improvement in one professional program. Participants gain the ability to retrieve, organize, analyze, and manage data more accurately in business and technology environments. Organizations benefit from stronger data quality, improved reporting capability, better system understanding, and more reliable data-driven decisions. This program is an effective foundation for professionals seeking to strengthen their database skills and contribute to modern digital operations.

SQL & Database Management

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