ELT Testing
In today’s data-centric world, ELT (Extract, Load, Transform) processes are critical for businesses to manage and analyze large volumes of data. Ensuring the accuracy, performance, and quality of these pipelines is the role of ELT Testing. At Infimorph Systems, we offer a hands-on, real-time ELT Testing course designed to make you proficient in validating data pipelines, transformations, and warehouse integrations across modern BI and Big Data environments.
What You Will Learn
Introduction to ELT and Data Warehousing
Difference between ETL vs ELT
Data Warehouse Architecture
OLAP vs OLTP Concepts
ELT Process Overview
Data Extraction: Sources and Methods
Data Loading: Staging, Raw Zone
Data Transformation: Rules & Business Logic
ELT Testing Fundamentals
Types of Testing: Source to Target, Transformation, Reconciliation
Data Profiling & Validation Techniques
Handling Nulls, Duplicates, and Outliers
SQL for ELT Testing
Writing Validation Queries
Joins, Subqueries, Aggregations
Query Optimization Tips
Test Automation in ELT
Automation Strategy & Best Practices
Using Python or Shell Scripts
Scheduling and Validation using Airflow (intro)
Tools and Platforms
SQL Server / Snowflake / BigQuery (based on use case)
Informatica / Talend / Azure Data Factory (Demo only)
Data Validation using Excel, Python, or Query Editors
Performance & Data Volume Testing
Validating Load Times & Data Integrity
Scalability and Latency Metrics
Log Monitoring & Alerting
Tools & Features Covered
Who Should Join?
Manual Testers moving to Data Testing roles
QA Engineers testing data pipelines
BI/ETL Developers seeking end-to-end test skills
Data Analysts validating data transformations
Launch
Ready to Become a Certified Software Tester?