ETL Pipeline Example: Load
Understand how to write and add a load function in an ETL pipeline, using Python to insert transformed data into a data warehouse. Learn to integrate this load step into an Apache Airflow DAG for automated scheduling and execution, ensuring incremental data loading for effective data analysis.
We'll cover the following...
We'll cover the following...
Writing the load function in helper.py
Now that we have a clean and transformed CSV file, we can focus on the load stage of the ETL pipeline. As usual, we’ll write a function called load in the helper.py file. Later, we’ll use that function as a part of the DAG.
The load function creates a new dataframe using the clean data and inserts it into the fact ...