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⚡ AI Lessons

Dev.to · Blaine Elliott
🧠 Large Language Models
⚡ AI Lesson
1w ago
OKF vs RAG for Data Warehouse Context: Why We Chose a Living Knowledge Base
Google's Open Knowledge Format (OKF) formalizes the "LLM Wiki" pattern: give an agent a curated markdown knowledge base instead of RAG over raw chunks. We've ru

Dev.to · Blaine Elliott
2mo ago
What Is the Best Metaplane Alternative in 2026?
Metaplane is now Metaplane by Datadog. If you picked it to stay off an enterprise observability platform, the acquisition changes the math. An honest comparison

Dev.to · Blaine Elliott
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Why Do Data Teams Use AI to Write Code but Not to Monitor Pipelines?
dbt's 2026 State of Analytics Engineering found that 72% of data teams prioritize AI-assisted coding, but only 24% prioritize AI-assisted pipeline management. T

Dev.to · Blaine Elliott
📊 Data Analytics & Business Intelligence
⚡ AI Lesson
2mo ago
How Do I Monitor Schema Changes in a Data Warehouse?
Schema changes in a data warehouse are monitored by polling INFORMATION_SCHEMA, using event-driven triggers, or comparing column hashes. This guide covers detec

Dev.to · Blaine Elliott
3mo ago
What Is Data Downtime and How Do You Measure It?
Data downtime is the total time your data is missing, inaccurate, or otherwise unusable. This guide explains how to calculate it using TTD and TTR, estimate the

Dev.to · Blaine Elliott
3mo ago
State of Data Engineering 2026: Why Data Teams Spend 60% of Their Time Firefighting
The 2026 State of Data Engineering Survey found that data teams spend 34% of their time on data quality and 26% firefighting. That's 60% of the week reacting to

Dev.to · Blaine Elliott
3mo ago
Why We Open-Sourced Our Database Query Layer
When you connect a data quality tool to your database, you're trusting that tool with access to your...

Dev.to · Blaine Elliott
3mo ago
Why I Built AnomalyArmor
I've done data engineering over the years at CJ, Savings.com, MySpace, Chegg, LinkedIn, Microsoft,...

Dev.to · Blaine Elliott
3mo ago
Data Anomaly Detection: The Complete Guide for Data Engineers
Data anomaly detection identifies data points that deviate from expected behavior. This guide covers the four types of anomalies, detection algorithms, and how

Dev.to · Blaine Elliott
3mo ago
You Don't Need to Write Data Tests
Data engineers know they should test their pipelines. They just don't have time. The real answer isn't better testing frameworks. It's automated data testing th
DeepCamp AI