Sida Shen

Teams are using Apache Iceberg not only for offline BI, but also for interactive, near-real-time, and customer-facing use cases (and increasingly, agent-driven workflows). In these scenarios, the main challenge is often keeping derived datasets and metrics fresh without expensive recomputation.

Customer-facing analytics is your competitive advantage, but ensuring high performance and scalability often comes at the cost of data governance and increased data silos.