Case Study

Looker + Snowplow: A fresh approach to analyzing massive amounts of event-level data

Looker + Snowplow: A fresh approach to analyzing massive amounts of event-level data

Pages 6 Pages

paper Looker + Snowplow: A fresh approach to analyzing massive amounts of event-level data By Yali Sassoon, Snowplow Analytics 1 Limitations of traditional BI tools for analyzing Snowplow data The purpose of Snowplow is to give companies their own web-event data in a granular, structured format that makes it as easy as possible to perform any type of analysis on it, including joining it with other datasets. The majority of companies that use Snowplow access their data from Amazon Redshift. Redshift makes it possible to run performant queries directly against massive datasets, and Snowplow datasets tend to be very large (because one row of data is generated for every event). Most companies running Snowplow use at least one BI tool as a front end on their Snowplow data. BI tools

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