Data Warehousing & ETL Testing Course

The Data Warehousing & ETL Testing course aims to help the learner develop a foundational knowledge of enterprise data warehousing with the concept of data extraction, transformation, and loading (ETL). The course will cover the essential terms explaining data integration, data modeling, and validation processes, which verify data accuracy and credibility in business intelligence. The learner will have hands-on experience with the ETL tool and also design test cases for data validation, data completeness, and regression testing. In this course will focus on real projects where professionals can identify and resolve data quality issues effectively.  

The course will deliver on engaging the learner in analyzing business requirements for effective data testing's test strategy designs that validate end-to-end data flow across data sources and targets. This course is for QA professionals, data analysts, or developers that would like to develop their technical skill for data testing and warehouse management. 

This course on Data Warehousing and ETL Testing at SSDN Technologies is specifically designed as part of an advanced corporate training program to your organizational needs. The training aims to assist teams in demonstrating data validation skills, enhance data reliability, and creating superior and optimal data for an enterprise experience in better business decision making. 


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Learning Options for You

  • Live Training (Duration : 40 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Basic knowledge of SQL and databases
  • Understanding of data warehousing concepts (OLAP, OLTP)
  • Familiarity with software testing fundamentals
  • Prior exposure to ETL tools like Informatica, Talend, or SSIS is helpful

Learning Objectives

The Data Warehousing & ETL Testing Course provides comprehensive training in validating, verifying, and ensuring the accuracy of data movement within ETL processes. Learners will explore data warehouse architecture, data flow, and key components of ETL testing including data extraction, transformation, and loading validation. The course covers data completeness checks, data reconciliation, performance testing, and error handling. Participants will gain hands-on experience with SQL queries, data mapping documents, and automation of ETL test cases using real-world tools. Additionally, learners will understand defect reporting, root cause analysis, and test management best practices. By the end of the course, participants will be able to design and execute end-to-end ETL testing strategies to maintain high data quality and reliability in enterprise systems.

Target Audience

  • Software testers and QA professionals
  • ETL and data engineers involved in data migration
  • Database administrators and analysts
  • BI developers and data warehouse professionals
  • Learners pursuing careers in data testing and analytics

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