🗃️ SQL Validation Queries for QA & Data Testing

A curated collection of SQL queries designed for Quality Assurance, Backend Data Validation, and Business Logic Verification. This repository demonstrates real-world SQL validation techniques used by QA Engineers to verify data integrity, reconcile records, validate business workflows, and support enterprise application testing.

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📑 Table of Contents

• 🎯 Project Overview
• 🛠 SQL Topics Covered
• 📚 Validation Areas Covered
• 🏢 Enterprise QA Use Cases
• 🛠️ Tools & Technologies
• 📂 Repository Structure
• 💡 Sample SQL Validation Query
• 🔥 Key Highlights
• 📈 Future Enhancements
• 🔗 Related Repositories
• 👩‍💻 Author
• 📄 License

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🎯 Project Overview

Backend data validation is a critical aspect of enterprise software testing.

While UI testing verifies user-facing functionality, SQL validation ensures that business transactions, integrations, and database operations store and retrieve data accurately.

This repository demonstrates SQL techniques commonly used by QA Engineers to:

• ✔️ Validate backend data
• ✔️ Verify business rules
• ✔️ Perform data reconciliation
• ✔️ Detect duplicate or inconsistent records
• ✔️ Validate system integrations
• ✔️ Support defect investigation and root cause analysis
• ✔️ Verify Quote-to-Cash (Q2C) workflows
• ✔️ Ensure enterprise data integrity

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🛠 SQL Topics Covered

This repository contains SQL examples covering:

• Basic SELECT Queries
• WHERE Conditions
• ORDER BY & LIMIT
• INNER JOIN / LEFT JOIN
• Aggregate Functions
• GROUP BY & HAVING
• Date Functions
• String Functions
• Window Functions
• Subqueries
• Business Validation Queries

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📚 Validation Areas Covered

🔹 Backend Data Verification

• Validate UI vs Database records
• Verify Insert, Update and Delete operations
• Backend record validation

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🔹 Record Reconciliation

• Source vs Target comparison
• Cross-system validation
• Data migration verification

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🔹 Joins & Data Relationships

• INNER JOIN
• LEFT JOIN
• RIGHT JOIN
• Multi-table validation
• Foreign key verification

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🔹 Data Integrity Checks

• Duplicate detection
• NULL value validation
• Constraint validation
• Missing record detection

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🔹 Aggregation & Reporting

• COUNT validation
• SUM validation
• AVG validation
• GROUP BY validation
• HAVING clause validation

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🔹 Business-Level Validations

• Quote-to-Order validation
• Order lifecycle validation
• Pricing verification
• Discount validation
• Revenue validation
• Transaction consistency

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🏢 Enterprise QA Use Cases

This repository demonstrates SQL validation techniques commonly used for:

• Salesforce CRM Testing
• Oracle CPQ Testing
• Quote-to-Cash (Q2C) Validation
• Order Management Systems
• Backend Data Verification
• Production Defect Analysis
• Root Cause Analysis (RCA)
• Integration Testing
• Data Migration Validation
• Business Workflow Validation

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🛠️ Tools & Technologies

Component	Technology
Query Language	SQL
Database Concepts	Relational Databases
Validation Type	Backend Data Validation
Testing Domain	QA & Data Testing
Business Domain	Salesforce CRM, Oracle CPQ, Q2C
Version Control	Git & GitHub

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📂 Repository Structure

sql-validation-queries
│
├── business-scenarios
├── basic_select_queries.sql
├── where_conditions.sql
├── joins.sql
├── group_by_having.sql
├── aggregate_functions.sql
├── string_functions.sql
├── date_functions.sql
├── window_functions.sql
├── subqueries.sql
├── SQL for QA Validation
├── README.md
└── LICENSE

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💡 Sample SQL Validation Query

-- Identify duplicate customer records

SELECT customer_id,
       COUNT(*)
FROM customers
GROUP BY customer_id
HAVING COUNT(*) > 1;

Example backend validation:

-- Orders without matching customers

SELECT o.order_id,
       o.customer_id
FROM orders o
LEFT JOIN customers c
ON o.customer_id = c.customer_id
WHERE c.customer_id IS NULL;

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🔥 Key Highlights

• ✔️ Enterprise SQL Validation Repository
• ✔️ Real-world Backend Data Validation
• ✔️ QA-focused SQL Queries
• ✔️ Business Logic Verification
• ✔️ Data Integrity Validation
• ✔️ Supports Salesforce CRM & Oracle CPQ Testing
• ✔️ Useful for Manual & Automation Testers
• ✔️ Portfolio-ready SQL Reference

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📈 Future Enhancements

• Stored Procedures
• Views & Materialized Views
• Advanced SQL Challenges
• Database Performance Queries
• Data Migration Validation
• SQL Interview Scenarios
• Database Testing Scenarios

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🔗 Related Repositories

Selenium Java Hybrid Framework

https://github.com/Dishi-Gogia/selenium-java-hybrid-framework

E-Commerce API Testing Portfolio

https://github.com/Dishi-Gogia/ecommerce-api-testing-portfolio

Restful Booker API Testing Portfolio

https://github.com/Dishi-Gogia/restful-booker-api-testing

Cucumber BDD Framework

(Add Repository)

REST Assured API Framework

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Java for QA Engineers

https://github.com/Dishi-Gogia/Java-for-QA-Engineers

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👩‍💻 Author

Dishi Gogia

Senior QA Manager | Quality Engineering | SQL | Backend Data Validation | Salesforce CRM | Oracle CPQ | Test Automation

• GitHub: https://github.com/Dishi-Gogia
• LinkedIn: https://www.linkedin.com/in/dishi-gogia

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📄 License

This project is licensed under the MIT License.

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📈 Repository Status

⭐ If you find this repository useful, please consider giving it a Star.

Suggestions, improvements, and feedback are always welcome.

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📌 Disclaimer

This repository was developed for learning, demonstration, and portfolio purposes to showcase SQL validation techniques, backend data verification, enterprise QA practices, and business data validation using SQL.