Small Scale ETL
Small Scale ETL (Extract, Transform, Load) is a lightweight approach to data integration, focusing on handling modest data volumes with simple, often script-based workflows. It involves extracting data from sources like files or APIs, transforming it for analysis or storage, and loading it into a target system such as a database or data warehouse. This methodology is commonly used in scenarios where full-scale ETL tools are overkill, such as in startups, small projects, or for prototyping.
Developers should learn Small Scale ETL when working on projects with limited data complexity or budget, as it allows for quick implementation using familiar tools like Python or SQL without the overhead of enterprise solutions. It's ideal for tasks like data cleaning, reporting, or feeding data into machine learning models in environments where agility and cost-effectiveness are priorities, such as in small businesses or research settings.