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Webinar: 6 Use Cases You Didn't Think Possible on the Data Lake

Thursday 24 September 2026·10:30pm·Online
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Date & Time

Thursday 24 September 2026

10:30pm

Location

Online / Virtual

Price

Free

RA

Organiser

Real-time Analytics meetup London

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AI & MLSaaS

About this event

To attend, [register here.]( Your lakehouse already holds the data. Iceberg and Delta solved openness, durability, and cost. So why does every workload with a real performance SLA still live somewhere else? The moment a query is tied to a customer experience, a revenue event, or an on-call engineer at 2am, best-effort latency stops being acceptable. Traditional lakehouse query engines scan too much data to hold sub-second responses, so teams do the only thing available to them: they copy the data out. Into Elasticsearch for log search. Into a time-series store for metrics.

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