Guided Notes
Building the ETL Pipeline
Packaging extract, transform, and load into functions and one runnable module, with logging, validation, and scheduling.
From notebook to pipeline
Slide 1 / 5Everything so far was exploration: running cells, looking at output, deciding what to fix. A pipeline turns those decisions into code that runs start to finish with one command — every day, on new data, with nobody watching.
The World Bank goal: one Python module that reads the indicator and project files, cleans and merges them, and loads the result into worldbank.db in a single step.
