Snowplow fundamentals
๐๏ธ How the pipeline works
An overview of what a Snowplow pipeline does and what steps it includes
๐๏ธ Deployment model
Details on where and how Snowplow is deployed
๐๏ธ Events
An event is a central concept in Snowplow that represents something that occurred at a particular point in time
๐๏ธ Entities (context)
Entities are a good way to deal with common fields across various events
๐๏ธ Schemas (data structures)
Schemas are a powerful feature that ensures your data is clean and descriptive
๐๏ธ Failed events (bad rows)
Failed events represent data that did not pass validation or otherwise failed to be processed
๐๏ธ What the data looks like
A summary of the Snowplow events table and its fields, including custom events and entities
๐๏ธ Destinations
Different options for storing and forwarding Snowplow data
๐๏ธ ๐ Data Products Introduction
Snowplow's data products enable organizations to easily generate AI and BI-ready data that is reliable, clear, compliant, accurate, and predictable