Event Level Data Analysis with Snowplow

August 11, 2015

Looker works with Snowplow Analytics to deliver an end-to-end solution for capturing, storing, and analyzing event-level data.

By delivering detailed, granular, event-level data, Snowplow Analytics gives businesses unprecedented flexibility to perform any type of analytics on their web-event data. Until recently, businesses that wanted to take advantage of this flexibility and power needed to have SQL experts on hand to create the data cubes for end users to query with traditional BI tools.

Through a combination of its rich, lightweight metadata model and an architecture that uses the underlying database to query the data (rather than its own analytics engine), Looker empowers end users to: 1) Define and analyze the entities, dimensions, metrics, and funnels that matter to their business, and 2) Drill right down into their event-level data. All without having to know any SQL.

This paper is authored by Yali Sassoon, co-founder and analytics lead at Snowplow Analytics.

Previous Flipbook
Data Modeling in Looker
Data Modeling in Looker

Quick iteration and reusability of metric calculations for powerful data exploration.

Next Flipbook
Analytics on Teradata Aster
Analytics on Teradata Aster

Perform advanced analytics directly on multi-structured data of Teradata Aster.

See why customers love Looker in Dresner’s 2017 Wisdom of Crowds Report

Get The Report