Manual Data Processing
Manual Data Processing is a hands-on approach to handling, cleaning, transforming, and analyzing data without relying on automated tools or scripts. It involves direct human intervention using basic software like spreadsheets (e.g., Excel) or text editors to manipulate data sets. This method is often used for small-scale, ad-hoc tasks where automation is impractical or unnecessary.
Developers should learn Manual Data Processing for quick data exploration, debugging data issues, or handling one-off tasks where setting up automated pipelines would be inefficient. It's particularly useful in scenarios like prototyping data workflows, cleaning small datasets (e.g., under 10,000 rows), or when working with non-standard data formats that require human judgment. However, it's not scalable for large or repetitive tasks, where automated tools are preferred.