Managing dual architectures for batch and stream processing often leads to operational headaches and data inconsistency. It’s time to unify your approach. In this session, we will deep-dive into Apache Flink Materialized Tables, a revolutionary feature designed to drastically simplify how you develop and manage data pipelines within a single SQL environment.
We will go beyond the surface to demonstrate how Flink automatically handles complex transformations and guarantees data freshness based on your specific targets. You won’t just learn the theory; we will explore the mechanics of flexible refresh modes—comparing continuous streaming updates against full batch reloads—to suit your specific latency needs.
By the end of this talk, you will gain practical insights into creating, managing, and optimizing these tables. You will leave equipped to build a more consistent, efficient data architecture where your engineering efforts yield real results, and where your data goals are finally Matter-ialized.