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"The move to Starburst and Iceberg has resulted in a 12X reduction in compute costs versus our previous data warehouse. This efficiency allows us to focus our attention on using analytics for revenue-generating opportunities." — Peter Daniel Lim, Sr. Data Engineer at Yello.co Check out this new case study to learn how Yello adopted Starburst and Apache Iceberg to achieve 98% faster reporting times and reduced their run time from 28 hours to just 4 hours: https://okt.to/wYLAKG #casestudy #CustomerReview #ApacheIceberg

Yello Case Study | Starburst

Yello Case Study | Starburst

starburst.io

Dan Anderson

Helping clients drive faster time to insights, empowering controlled self service analytics while reducing data engineering costs- Data Mesh|Analytics|Data Lake|Data Warehouse|Data Catalog|Data Management|Data Products

3w

12X is pretty solid ;-)

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