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How Data Observability Keeps Riot Games' Data Quality in Another League

Offered By: Databricks via YouTube

Tags

Data Engineering Courses Databricks Courses Gaming Industry Courses

Course Description

Overview

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Explore how Riot Games, the publisher of League of Legends, maintains data quality for millions of global gamers in this 31-minute talk sponsored by Monte Carlo. Learn about Riot's journey to build a best-in-class Databricks Lakehouse architecture in the gaming industry and how they leveraged Monte Carlo to scale data reliability across their new data stack. Discover how automating data reliability allows Riot to focus on providing great player experiences by optimizing data quality workflows, reducing resource drain, and eliminating stakeholder tickets. Gain insights from Colin Borys, Siva Veera, Daniyal Maniar, and Eric Fornaciari as they discuss Riot's approach to building clean, trusted data at the heart of their gaming experiences. For further exploration, check out resources on Data, Analytics, and AI Governance, and connect with Databricks through their various social media channels.

Syllabus

Sponsored by: Monte Carlo | How Data Observability Keeps Riot Games’ Data Quality in Another League


Taught by

Databricks

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