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.
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