SQLAlchemy Strategies for Bulk Data Loading and Data Type Control

Photo by Maja Petric on Unsplash

In the world of data processing, handling large datasets efficiently is crucial. Python’s Pandas library is a popular choice for data manipulation, and it often plays a role in loading substantial amounts of data into databases. However, when dealing with vast datasets, you may encounter data type inconsistencies between your Pandas DataFrame and the target database. In this…