Chain-of-thought prompting means asking a large language model to show its reasoning step by step […]
Does a Downloadable Local LLM Contain All of the Knowledge on the Internet?
(Full Clear Explanation for Beginners) The short answer: NO — a downloadable LLM does not […]
Is Saying ‘Launching a Model’ the Same as ‘Launching an LLM’?
Yes — in about 90% of technical conversations, people use both expressions to mean the […]
dbt: Configurations Hiérarchiques dbt : Gestion Prédictible des Schémas
🎯 Le Problème avec les Sous-répertoires Imbriqués Structure de Projet Typique 🚨 Défis Sans Configuration […]
dbt: Schema Configuration: Understanding ‘schema: null’
🎯 What is schema: null? When you set schema: null in a dbt model configuration, […]
dbt: Data Masking in dbt: Reusable Macros Best Practices
🎯 What is Data Masking? Data masking is the process of obfuscating sensitive data while […]
dbt: Metrics Filter Dimensions: Practical Guide
🎯 The Problem In dbt’s semantic layer, you have complex metrics with multiple filter conditions: […]
dbt: Macro vs Valeurs en Dur : Pourquoi la Macro Gagne
🤔 La Question Légitime Pourquoi faire une macro quand on peut écrire directement : Au […]
dbt: Hybrid Slowly Changing Dimension (SCD) Type1 & Type 2
🧠 What is a Hybrid SCD? A Hybrid SCD combines: ✅ Why use Hybrid SCD? […]
dbt: Optimizing dbt Parallel Execution: A Strategic Approach to Thread Management
In the world of modern data engineering, the ability to process large volumes of data […]