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Collection & Ingestion guides
Behavioral event data, explained How product and marketing teams turn raw clicks and actions into events, and what separates a usable event stream from a noisy one. How to audit your analytics implementation A checklist for finding where tracking, tag management and dashboards have drifted from what they are supposed to measure. How to choose a change data capture tool Pick CDC by how it reads the source log, who has to operate it, and whether you actually need sub-second delivery or just a fresh warehouse table. How to choose a data marketplace The marketplace that matters is the one your data lands in already — cloud-native listings versus a platform-agnostic directory of external providers. How to choose a web scraping tool Pick a web scraping tool by how much of the pipeline you want to own — proxies, rendering, extraction — not by whichever demo pulled a product page fastest. How to choose an ELT tool ELT tools differ less on connector count than on who operates them, how pricing scales, and whether transformation happens in the tool or downstream. How to choose an event streaming platform Kafka's protocol won the ecosystem; the real decision is who operates the cluster and whether you need Kafka compatibility at all. How to choose an event tracking pipeline The real decision is who owns the event schema and where the raw data lives — a vendor-routed pipeline or one you fully own. How to write a tracking plan A practical method for defining events, properties, naming conventions, ownership and QA before anyone ships an instrumentation line.