Events

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

Game Developers Conference (GDC) - San Francisco

March 20 - 24, 2023

Meet the Firebolt team at GDC booth N2935 to talk about your toughest data challenges, and see a live demo of Firebolt crunching TBs on data in sub-seconds.
Register

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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