Data integration is the process of combining data from various sources into a unified view, enabling organizations to derive meaningful insights and make informed decisions. This involves retrieving, transforming, and consolidating data from disparate systems, such as databases, applications, and cloud services. Effective data integration ensures that data is accurate, consistent, and accessible across the organization, facilitating seamless workflows and enhancing business intelligence. Various technologies and methodologies, including ETL (Extract, Transform, Load), ELT (Extract, Load, Transform), and iPaaS (Integration Platform as a Service), are employed to streamline this process and address the complexities of modern data landscapes.