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SAN FRANCISCO, JUNE 26-29
VIRTUAL, JUNE 28-29
  • Sessions
Watch on demand

How Rec Room Processes Billions of Events Per Day with Databricks and RudderStack

Tuesday, June 27 @12:00 PM
Attending in person? Add to your schedule ↗

Overview

Learn how Rec Room, a fast-growing augmented and virtual reality software startup, is saving 50% of their engineering team's time by using Databricks and RudderStack to power real-time analytics and insights for their 85 million gaming customers.



 



In this session, you will walk through a step-by-step explanation of how Rec Room set up efficient processes for ingestion into their data lakehouse, transformation, reverse-ETL and product analytics. You will also see how Rec Room is using incremental materialization of tables to save costs and establish an uptime of close to 100%.


Type

  • Breakout

Experience

  • In Person

Track

  • Data Warehousing - Analytics - and BI, Databricks Experience (DBX)

Industry

  • Enterprise Technology, Media and Entertainment

Difficulty

  • Intermediate

Duration

  • 40 min
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Session Speakers

Headshot of Lewis Mbae

Lewis Mbae

Head of Customer Engineering

RudderStack

Headshot of Albert Hu

Albert Hu

Senior Analytics Engineer

Rec Room

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