How to Collect Behavioral Data? A Guide for Data Engineers and Analysts

The text discusses the importance of collecting behavioral data, which is generated by users' actions or events while interacting with a product. It explains that this data can be collected from primary sources (the core product) and secondary sources (external tools). The author then introduces various technologies and tools for collecting behavioral data, including CDI (Customer Data Infrastructure), CDP (Customer Data Platform), ELT (Extract, Load, Transform), and other specific tools like Segment, mParticle, RudderStack, Jitsu, Snowplow, Freshpaint, MetaRouter, Airbyte, Fivetran, Stitch, Meltano, Amplitude, Mixpanel, Indicative, Heap, PostHog, and custom tracking solutions. The author recommends using CDI tools for collecting data from primary sources and sticking to ELT tools for secondary sources. They also advise collaborating with stakeholders when deciding which events to track and where to send the data.