When migrating data between different database systems, ensuring data compatibility is crucial to maintain the integrity and functionality of the data across the systems.

The primary objective of load testing is to evaluate the system's performance under specific conditions, such as high loads or heavy usage, to ensure that it can handle the expected workload without degradation in performance or stability.

Stress testing focuses on pushing the system beyond its specified limits to assess its stability and behavior under extreme conditions. It involves testing the system under high loads, heavy traffic, or resource constraints to identify its breaking point and determine its ability to recover gracefully from failures.

Database testing challenges testers regarding data encryption and security by necessitating the mitigation of SQL injection attacks. These attacks exploit vulnerabilities in the database's input handling mechanisms to execute malicious SQL queries, potentially compromising sensitive data. Testers must ensure that the database's security measures effectively prevent such attacks, requiring rigorous testing and validation of security protocols.

Load testing tools simulate user activity to assess system behavior under normal and peak loads. By generating a large number of concurrent users, they help evaluate system scalability.

When selecting a CI/CD tool for database testing, it's crucial to consider factors such as support for database migration scripts, integration with version control systems to manage database changes, ability to schedule automated tests for continuous testing, and scalability for handling large databases effectively.

Data masking involves replacing original data with fictional, yet realistic, data to hide sensitive information. This technique helps protect data privacy and security by ensuring that only authorized users can access real data while masking the actual values from unauthorized individuals or systems.

Data compression techniques in database systems primarily aim to reduce storage space and improve data transfer speed. By compressing data, the amount of disk space required to store large datasets is reduced, which can lead to cost savings and improved performance. Additionally, compressed data can be transmitted more quickly over networks, making data transfer more efficient.

Enforcing referential constraints ensures that relationships between tables are maintained, preventing actions that would compromise the consistency and integrity of the data. These constraints typically involve foreign keys linking records in different tables.

A test dashboard serves as a centralized platform that provides real-time updates on various testing metrics and key performance indicators. It offers stakeholders a visual representation of the testing progress, including test execution status, defect trends, and coverage metrics. By displaying critical information in an easy-to-understand format, a test dashboard enables stakeholders to quickly assess the health of the project and make data-driven decisions. It enhances communication and collaboration among team members and helps in identifying potential risks or bottlenecks early in the testing process.