Category: Analytics
Data clean rooms: share insights without shipping raw files
Partners want overlap metrics. Nobody should email a customer CSV “just this once.” Data clean rooms let parties compute under rules and return aggregates. Learn when they help,…
ETL vs ELT: where the transform runs
ETL shapes data before load; ELT loads then transforms in the warehouse. Plain comparison, CDC and cousins, best practices, and a checklist for modern stacks.
All about KPIs: numbers that drive a decision
Twenty-eight charts is not a strategy. KPIs are a short list of owned measures tied to decisions. Learn KPI vs metric, leading vs lagging, a practical ladder, and…
What are LLMs? ChatGPT, generative AI, and useful work patterns
Large language models draft text by predicting tokens at scale. Plain definitions, analytics use cases, grounding with retrieval, and a review habit so polished answers do not become…
What is Git? A straightforward introduction for analytics work
Git tracks versions so teams stop emailing final_final.sql. Repos, commits, branches, remotes, and a minimal daily loop for analysts and analytics engineers.
