Streaming Data Processing and Data Lakes
Streaming Data Processing and Data Lakes Streaming data processing turns a flood of events into timely insights. Instead of waiting for a full batch, modern systems react as data arrives. This enables real‑time dashboards, instant alerts, and faster decision making. A data lake provides a scalable home for raw events, enriched records, and historical context. When you pair streaming with a data lake, you create a continuous flow from source to insight, with governance baked in. ...