Creating an enterprise-level data integration strategy means considering your current, core business objectives AND foreseeing what lies ahead to better understand where to invest, cut, and adjust within your data architecture. Cloud migration, tool consolidation, the move to streaming and real-time data, higher performance, less cost, better analytics, fresh data captured exactly once—these among other critical components drive your choices as you build future-proof data integration.
In this session, we'll explore the core architectural components that support a modern, multimodal approach: CDC replication, streaming ETL, and batch ETL. We will walk you through design trade-offs with regard to monitoring and alerting, no-code UI versus hand-coding, the value of open source components, and other strategic considerations. Leave with an understanding of the choices to consider, and a roadmap towards an optimal solution.