Events

AWS DEV DAY - Austin

Oct 4, 2023

Join AWS, Firebolt, and Metabase for an afternoon of data, dev, and drinks. We'll learn how to optimize analytics projects by tackling challenges around performance, scalability, and cost, and talk tactics for advanced-level developers.Register

Data4Dev - Global

March 29, 2023

Join us for a night of data, engineering, and everything in between with some special guests from Canva, Bolt, PayU, and Vrio. We’ll compare data platforms head-to-head, see how Firebolt tackles your toughest queries, and talk killer tactics for advanced-level developers.
Watch the session

re:invent - Las Vegas

Nov 28 - Dec 2, 2022

While BI teams may have gotten used to waiting on dashboards to load, data app experiences are expected to be much faster. At re:Invent, Matan Sarig demonstrated how Firebolt can efficiently deliver sub-second analytics at terabyte scale - without breaking the bank.
Watch the session

Coalesce - New Orleans

Oct 17-21, 2022

At dbt’s Analytics Engineering Conference, Rob Harmon and Jay Rajendran talked about why data apps are the next wave in analytics engineering - and how to prepare for it. Their session explores real-world examples of data apps, and how the modern data stack is advancing to support sub-second and high concurrency analytics to meet the new wave of demand.
Watch the session

Data Dev & Drive - London

Sept 7, 2022

A gathering of advanced-level engineers, where Mark Rittman put data pros from Primer, Appsflyer, Cube and Firebolt in the hot-seat to tackle TB-scale analytics challenges.Watch the sessions

The Data Engineering Show on the Road - San Francisco

April 26, 2022

In the Data Engineering Show’s first in-person event, the Data Bros talked to top engineers from Slack, Eventbrite and Anteriad about their data stacks and best practices for large-scale analytics.
Watch the sessions

Data4Dev - Tel Aviv

March 22, 2022

In the Data Engineering Show’s first in-person event, the Data Bros talked to top engineers from Slack, Eventbrite and Anteriad about their data stacks and best practices for large-scale analytics.Watch the session (Hebrew)

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