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

How Comcast Effectv Drives Data Observability with Databricks and Monte Carlo

Tuesday, June 27 @4:00 PM
Attending in person? Add to your schedule ↗

Overview

Comcast Effectv, the 2,000-employee advertising wing of Comcast, America’s largest telecommunications company, provides custom video ad solutions powered by aggregated viewership data. As a global technology and media company connecting millions of customers to personalized experiences and processing billions of transactions, Comcast Effectv was challenged with handling massive loads of data, monitoring hundreds of data pipelines, and managing timely coordination across data teams.



 



In this session, we will discuss Comcast Effectv’s journey to building a more scalable, reliable lakehouse and driving data observability at scale with Monte Carlo. This has enabled Effectv to have a single pane of glass view of their entire data environment to ensure consumer data trust across their entire AWS, Databricks, and Looker environment.


Type

  • Breakout

Experience

  • In Person

Track

  • Data Governance, Databricks Experience (DBX)

Industry

  • Enterprise Technology, Media and Entertainment

Difficulty

  • Intermediate

Duration

  • 40 min
Download session slides

Session Speakers

Headshot of Robinson Creighton

Robinson Creighton

Senior Manager of DataOps

Comcast Advertising

Headshot of Scott Lerner

Scott Lerner

Customer Success Manager

Monte Carlo

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