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Transforms and aggregates raw web event data collected from the snowplow javascript tracker into a set of derived tables Snowplow_web_page_views a table of page views, including engagement metrics such as scroll depth and engaged time. Page views, sessions and users, plus an optional.

Modeling your data with dbt dbt enables analytics engineers to transform data in their warehouses by simply writing select statements Please refer to the doc site for a full breakdown of the package Snowplow has written and maintain a number of dbt.

A fully incremental model, that transforms raw web event data generated by the snowplow javascript tracker into a series of derived tables of varying levels of aggregation

Page views, sessions and users. Rolls up page_view and page_ping events into page views and sessions performs user stitching to tie all historical events associated with an anonymous cookie (domain_userid). For every type of conversion you provide a configuration for, the package will add up to 6 columns to the snowplow_web_sessions table, depending on what you provide in your configuration. The sessionization models build a snowplow_sessions model that aggregates a large number data points about the session_id that has been generated by the javascript tracker

Transforms raw web & mobile event data generated by the snowplow snowplow javascript tracker & ios tracker, android tracker or react native tracker into a series of derived.

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