Low-latency Data Applications with AggREGATING Indexes
If a real-time dashboard takes 5 minutes to refresh, it’s not real-time.
With data lakes increasingly enabling massive amounts of unprocessed data sets, delivering low-latency analytics is not for the faint-hearted.
Learn how to stream massive amounts of data which used to be impossible to handle from Kafka, to serve real-time applications using lake-scale optimized approaches to storage and indexing.
Tino is the VP of Product at Firebolt. Prior, Tino spent more than 7 years at Google, mostly as a Product lead on Google BigQuery and a Technical Director at Office of CTO.
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