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How Barstool Sports Scaled Media Data Operations with Prefect

Blog post from Prefect

Post Details
Company
Date Published
Author
Jason Damiani
Word Count
1,327
Company Posts That Month
6
Language
English
Hacker News Points
-
Post removed?
No
Summary

Barstool Sports, a media company known for its popular podcasts and extensive social media presence, faced significant data orchestration challenges due to its reliance on TypeScript scripts and AWS Lambdas, which lacked observability and dependency management. This setup led to issues with data reliability and hindered the company's ability to provide advertisers with proof of performance across various channels. To address these challenges, Barstool hired a dedicated data engineer who implemented Prefect Cloud to streamline data workflows, improve observability, and enable reliable data integration across platforms. This transformation allowed Barstool to efficiently manage its data infrastructure, ensuring accurate attribution of content reach to advertisers, especially during critical periods like Black Friday and Cyber Monday. The improved data infrastructure not only reduced operational headaches but also provided the flexibility needed for future innovations, such as machine learning applications for content attribution.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Serverless 4 1,797 597 92 +165%
Observability 3 3,421 707 180 -24%
Real-time 2 5,735 1,391 247 -9%
Data Pipeline 1 624 230 79 -19%
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