Extract, Transform, Load
/ˈiː-tiː-ɛl/
n. “Move it. Clean it. Make it useful.”
ETL, short for Extract, Transform, Load, is a data integration pattern used to move information from one or more source systems into a destination system where it can be analyzed, reported on, or stored long-term. It is the quiet machinery behind dashboards, analytics platforms, and decision-making pipelines that pretend data simply “shows up.”
React-Query
/riˈækt ˈkwɛri/
n. “Data fetching without the drama.”
React Query is a data-fetching and state synchronization library for React applications. It simplifies the management of server state — that is, data that lives on a backend API or database — and keeps it in sync with the UI without the need for complex Redux setups or manual caching.
Excel
/ˈɛk.səl/
n. “Numbers, tables, and logic — tamed in cells.”
Excel, whether the classic desktop version from Microsoft or the cloud-based Google variant often called Google Sheets, is a spreadsheet application designed to organize, calculate, and visualize data. It turns rows and columns into a playground for formulas, charts, and structured analysis, allowing humans to impose order on numeric chaos.