The worst nightmare of analytics managers is accidentally blowing up the data warehouse cost. How can we avoid receiving unexpectedly expensive bills?

Here is not really an article, but more some notes about how we use dbt in our team.

Automatically solve typical Natural Language Processing tasks for your text data using LLM for as cheap as $10 per 1M rows, staying in your dbt environment

Maintaining a persistent Airflow deployment can often add significant overhead to data engineering teams, especially when orchestrating tasks across systems.

Explore effective methods for calculating binomial proportion metrics like conversion rates and click-through rates.