Thank you for sharing this! Turns out building pipelines like that is not as hard as I thought it would be. I can even implement something similar based on your guide.
Is this the phantom taxi from the NY_taxi dataset ? (The one with drop off zone ID not in taxi_zones table) (Thank you for your great data engineering zoomcamp)
Thank you for sharing this! Turns out building pipelines like that is not as hard as I thought it would be. I can even implement something similar based on your guide.
Cool way to start a pipeline! I will use this logic for my own project. Thanks for sharing!
Is this the phantom taxi from the NY_taxi dataset ? (The one with drop off zone ID not in taxi_zones table) (Thank you for your great data engineering zoomcamp)
Lol. exactly
Thank you for sharing this. It gave me ideas how to build a pipeline for my projects scope and documentation