SESSION

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

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OVERVIEW

EXPERIENCEIn Person
TYPEBreakout
TRACKData Governance
INDUSTRYMedia and Entertainment
TECHNOLOGIESETL, Governance, Orchestration
SKILL LEVELIntermediate
DURATION40 min

Riot Games, publisher of the wildly popular League of Legends, supports millions of gamers around the world every day. And at the heart of their gaming experiences? Clean, trusted data.In this session, Colin Borys, Siva Veera, Daniyal Maniar, and Eric Fornaciari will discuss Riot’s journey to building a best-in-class Databricks Lakehouse architecture in the gaming industry and how the data team leveraged Monte Carlo to scale data reliability across their new data stack.From optimizing data quality workflows and reducing resource drain to eliminating stakeholder tickets, we'll illustrate how automating data reliability allows Riot to focus on their real goals - providing great experiences to players around the world.

 

SESSION SPEAKERS

Siva Veera

/Mgr Data Engineering
Riot Games

Colin Borys

/Sr. Manager Data Science
Riot Games

Eric Fornaciari

/Data Engineer III
Riot Games

Daniyal Maniar

/Software Engineer
Riot Games