Mostafa Mokhtar

Historically, achieving sub-second query latencies across massive concurrent workloads required moving data out of the core lakehouse. This session deep-dives into Lakehouse//RT, a new real-time warehouse purpose-built to eliminate this architectural compromise. We will deliver a deep technical exploration of Lakehouse//RT’s underlying architecture, demonstrating how it maintains ultra-low latency without sacrificing resource efficiency. This session will analyze the specific engineering mechanisms that allow the engine to handle thousands of concurrent queries simultaneously.

Data warehousing in enterprise and mission-critical environments needs special consideration for price/performance. This session will explain how Databricks SQL addresses the most challenging requirements for high-concurrency, low-latency performance at scale. We will also cover the latest advancements in resource-based scheduling, autoscaling and caching enhancements that allow for seamless performance and workload management.