Feb 18 · 2 min read · Artificial Intelligence agents are often described as if they can think, reason, and understand the world. In reality, they don’t think. They react. They react to the data and context they are given. And if that context is outdated, delayed, or incom...
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Feb 16 · 14 min read · Date: February 16, 2026Module: Data Engineering Zoomcamp - Module 4Topic: Analytics Engineering with dbt Introduction Just completed Module 4 of the Data Engineering Zoomcamp - Analytics Engineering with dbt (data build tool)! This module was transf...
Join discussionFeb 12 · 5 min read · dbt Data Transformation: Analytics Engineering Best Practices The Data Decision That Cost Us $100K We trusted our data blindly. Then we discovered the truth. Here's what happened. Table of Contents Data-Driven 2026 Architecture Patterns 5 Implementa...
Join discussionJan 22 · 12 min read · Today, we're open-sourcing Altimate Skills — a collection of Claude Code skills specifically designed for analytics engineers. We are starting with skills for dbt and Snowflake. These encode the workflows and best practices that transform AI from a b...
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Jan 3 · 4 min read · Modern data teams don’t struggle with collecting data anymore — they struggle with trusting it. That’s exactly the problem dbt was built to solve. This post is a complete, end-to-end guide to dbt, covering: What problems it solves Core concepts (mo...
Join discussionDec 22, 2025 · 3 min read · 📜 What Is the Modern Data Stack? The Modern Data Stack (MDS) is a cloud-native approach to building data platforms using specialised, best-in-class tools instead of monolithic systems. Rather than relying on a single vendor for everything, modern te...
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Dec 18, 2025 · 3 min read · 📜 What Is the ETL/ELT Evolution? For decades, ETL (Extract, Transform, Load) was the standard approach to building data pipelines.Data was extracted from source systems, transformed in intermediate servers, and then loaded into warehouses. With clou...
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