Low-Latency & High-Concurrency Analytics Over Data Lakes

With data lakes increasingly enabling a broader collection of processed and unprocessed data sets, delivering low-latency & highly concurrent analytics is not for the faint-hearted.

Boaz Farkash explains how Firebolt utilizes recent advancements in lake-scale optimized approaches to storage and indexing, to achieve new levels of efficiency for analytics over data volumes that were once impossible to handle.

The session includes real-world practical examples and a live demo.