Introduction

ETL with SQL Training Course is designed to equip participants with the skills and knowledge required to efficiently extract, transform, and load data across complex databases. This comprehensive program emphasizes hands-on learning with real-world datasets, empowering learners to implement SQL queries, automate data pipelines, and optimize data workflows. Participants will gain practical experience with ETL processes, data modeling, and database management, enabling them to make data-driven decisions and streamline business operations. The course integrates industry best practices, ensuring that learners are job-ready for roles in data engineering, business intelligence, and analytics.

This course caters to professionals seeking to master ETL concepts while enhancing their SQL proficiency. Leveraging advanced tools and techniques, learners will explore performance tuning, data validation, and error handling within ETL pipelines. By focusing on both foundational principles and cutting-edge methodologies, the training ensures participants are prepared to handle large-scale data processing efficiently. Through a combination of interactive sessions, case studies, and practical exercises, participants will leave with actionable insights and the confidence to apply ETL strategies effectively in real organizational environments.

Programme Curriculum

ETL with SQL Training Course

Introduction

Course Objectives

Understand ETL concepts, architecture, and workflows using SQL
Perform data extraction from multiple sources efficiently
Transform and cleanse data to ensure data quality and consistency
Load data into target databases and data warehouses accurately
Develop complex SQL queries for data analysis and reporting
Optimize ETL pipelines for performance and scalability
Implement error handling and data validation techniques
Utilize automation tools to streamline ETL processes
Explore advanced SQL functions and procedures for ETL
Integrate ETL processes with business intelligence tools
Understand data modeling and relational database design
Apply best practices for ETL documentation and maintenance
Solve real-world ETL problems using case study-driven learning

Organizational Benefits

Streamlined data processing and improved operational efficiency
Enhanced data accuracy and integrity across systems
Accelerated business intelligence and reporting capabilities
Reduced time and cost in data management processes
Increased team productivity through standardized ETL workflows
Improved decision-making using accurate and timely data
Ability to scale ETL processes for growing data volumes
Empowered IT teams with advanced SQL and ETL skills
Minimized risk of errors in data migration and integration
Strengthened competitive advantage through data-driven insights

Target Audiences

Data Analysts seeking ETL and SQL expertise
Business Intelligence Developers
Database Administrators
Data Engineers and ETL Developers
IT Professionals involved in data integration
Software Developers working with relational databases
Project Managers overseeing data-driven projects
Students and fresh graduates aiming for data engineering roles

Course Duration: 5 days

Course Modules

Module 1: Introduction to ETL and SQL

Understanding ETL processes and architecture
Overview of SQL for data manipulation
Data sources and data warehousing concepts
ETL workflow design and optimization
Data profiling and quality assessment
Case Study: Building a simple ETL pipeline from CSV to database

Module 2: Data Extraction Techniques

Extracting data from relational databases
Handling flat files and external data sources
SQL queries for data extraction
Incremental vs full extraction strategies
Performance considerations during extraction
Case Study: Extracting sales data from multiple sources

Module 3: Data Transformation and Cleansing

Data cleaning techniques and best practices
Transforming data using SQL functions
Handling duplicates and missing values
Applying business rules in transformations
Data type conversions and formatting
Case Study: Cleaning and transforming customer records

Module 4: Loading Data into Databases

Techniques for loading data efficiently
Bulk inserts and batch processing
Data validation during load
Handling errors and retries
Loading into data warehouses
Case Study: Loading transformed data into a SQL warehouse

Module 5: Advanced SQL for ETL

Complex joins, subqueries, and CTEs
Window functions and aggregations
Stored procedures and triggers for ETL
Indexing for query optimization
Query performance tuning
Case Study: Automating ETL using advanced SQL queries

Module 6: ETL Automation and Scheduling

Overview of ETL tools and automation frameworks
Scheduling ETL jobs and workflows
Monitoring ETL processes
Logging and alerting best practices
Error handling and recovery
Case Study: Automating daily sales report ETL

Module 7: Data Modeling for ETL

Introduction to relational and dimensional modeling
Star and snowflake schemas
Normalization vs denormalization
Designing tables for ETL efficiency
Maintaining referential integrity
Case Study: Designing a data warehouse schema for retail data

Module 8: ETL Best Practices and Real-World Applications

ETL documentation and standards
Optimizing pipelines for large datasets
Troubleshooting common ETL issues
Aligning ETL with business intelligence goals
Continuous improvement and maintenance
Case Study: End-to-end ETL project implementation

Training Methodology

Instructor-led interactive sessions for conceptual clarity
Hands-on exercises for practical SQL and ETL skills
Real-time projects and case studies for applied learning
Group discussions to enhance problem-solving capabilities
Assessment quizzes to track learning progress
Continuous feedback and mentorship from experienced trainers

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

MS Word Informatica PowerCenter Talend Open Studio and Microsoft SQL Server Integration Services (SSIS)

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Sep 21 2026

21 Sep — 25 Sep 2026

💻 Online / Virtual session

Online $1,000