DAMG 7390 — Advances in Hybrid Data Integration and Engineering
4 semester hoursGraduateLecture
Offers students an opportunity to understand concepts on integration use cases, integration processes and personae, data governance (with privacy and security), and data management, in an era when enterprises are increasingly adding, expanding, and altering data sources. While gathering data is often straightforward, enterprises struggle to integrate, cleanse, curate, transform, and govern data to deliver comprehensive and consistent data to support operations and enable analytics. Covers real-world integration use cases that present data fragmentation, data inconsistency, and data quality challenges and effective architectures needed to design, develop, and implement hybrid integration platforms. Studies how to apply theory and best and pragmatic practices with various technologies to implement hybrid integration platform solutions.