Even though I consider myself knowledgeable about the multiple GCP products related to data engineering, I had not heard of a use case for Cloud Tasks before.
This post aims to shed some light on the use case for Cloud Tasks by bringing a specific problem to the table and discussing it from a PubSub vs Cloud Tasks perspective.
As part of a customer-data-segmentation project I encountered the challenge of sending user data to the Google Ads Remarketing Audience API, which has the following restrictions:
This guide is intended to be a handy reference for myself when i’m looking for a specific link or command, or setting up a new workstation. I’m expecting this guide to grow with more commands over time.
I’ll be covering the following areas in this guide:
This holy trinity should be taught in all tutorials. If you want control and understanding of your local environment, the combination of homebrew, pyenv & venv is the only way to go.
Data Engineer @ Valtech — Stockholm, Sweden