Data Integration Architecture Explained | Best Practices & Types (2026 Guide)
This comprehensive guide dives into data integration architecture — the structural backbone that enables organizations to unify, transform, and manage data from diverse sources. It breaks down key data architecture patterns such as ETL/ELT, data hubs, and streaming models, while sharing data integration best practices for scalability, reliability, and performance. Whether you’re a data engineer, architect, or business leader, this article demystifies the principles of building resilient integration frameworks that support analytics, BI, and AI initiatives. Explore the full article at: algoscale.com/blog/data-integration-architecture #DataIntegration #DataIntegrationArchitecture #DataArchitecture #DataEngineering #ETL