Data Processing

Data processing is the work of turning raw data into something useful — parsing logs, cleaning CSV exports, extracting fields from JSON API responses, and loading results into databases or reports. SadServers scenarios focus on hands-on JSON, CSV, and SQL manipulation on the command line; this lab covers those formats plus the broader architecture (ETL, batch vs streaming, data lakes, and pipeline tooling).