The edition of dbt coalesce was taking place in New Orleans. And we learned a ton about the analytics engineering landscape.

Snowflake | How we automated the management of an account with more than 50 users while complying with data governance standards

A guide on how to use counterfactual forecasting to estimate the cost-effectiveness of past in-store promotions in retail.

How to estimate the impact of channels between Sales and Marketing? The Media Mix Modeling is the solution, Statistics are the main resource.

After my 1st story on code optimisation to reduce my computing time by 90%, I was interested in knowing the CO2eq impact saved by my changes.

Jeffrey Kane, Senior Data Scientist, explains why ML Engineer should be in your data science projects from day one.

The field and future of data engineering is evolving quickly. Discover 3 major trends I see become prominent in the coming years.

This guide will help you figure whether Facebook Prophet is appropriate or not for your forecasting project.

String filters in Pandas is something you should avoid as the scalar_compare operator leads to performance bottlenecks.