Category: Key Terms
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.
Data storage options: pick by question, not fashion
App DB, warehouse, lake, mart, spreadsheet: each stores data for a different job. A plain map of the stack, tradeoffs, and a decision table so you stop buying…
Data jobs demystified: what each role actually does
Titles blur. Analyst, analytics engineer, BI, data scientist, data engineer, and ML engineer optimize for different questions and outputs. A plain map for hiring, career choices, and less…
Analytics, BI, data science, and more: what is the difference?
BI, analytics, data science, data engineering, and AI share tools but not goals. Plain definitions, how work hands off, and how to frame projects without buzzword soup.
