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Marcus

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Location Karlsruhe, Germany Joined Joined on  Personal website https://sql.marcus-belz.de
Deriving Data Quality Rules from the Schema — What the Metadata Already Knows
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Marcus

Deriving Data Quality Rules from the Schema — What the Metadata Already Knows

#dataquality #sql #postgres #database
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22 min read
Formatting SQL Statements (Part 2) — Statement Structure: SELECT, WHERE, FROM, JOIN
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Formatting SQL Statements (Part 2) — Statement Structure: SELECT, WHERE, FROM, JOIN

#sql #sqlserver #postgres #cleancode
1
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12 min read
Formatting SQL Statements (Part 1) — Identifiers, Delimiters, Commas, Aliases
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Formatting SQL Statements (Part 1) — Identifiers, Delimiters, Commas, Aliases

#sql #sqlserver #database #cleancode
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20 min read
Three Severity Levels, Not Pass/Fail — and Why Severity Decides Where the Rule Lives
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Three Severity Levels, Not Pass/Fail — and Why Severity Decides Where the Rule Lives

#dataquality #sql #postgres #database
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16 min read
Database CI/CD with PostgreSQL — the Complete Lifecycle from Object File to Automated Deploy
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Marcus

Database CI/CD with PostgreSQL — the Complete Lifecycle from Object File to Automated Deploy

#postgres #database #devops #cicd
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10 min read
Setting Up a Claude Code Project with a Development Workflow and Database — the Open Starter Kit Explained
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Setting Up a Claude Code Project with a Development Workflow and Database — the Open Starter Kit Explained

#ai #claude #productivity #programming
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10 min read
I Gave Claude Code 27 Rule Files Instead of One CLAUDE.md
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I Gave Claude Code 27 Rule Files Instead of One CLAUDE.md

#ai #claude #productivity #programming
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13 min read
AI-Assisted Coding Gave Me 799 Hardcoded Font Sizes
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AI-Assisted Coding Gave Me 799 Hardcoded Font Sizes

#ai #eslint #tailwindcss #webdev
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17 min read
Design Pattern // The Architecture of an ETL Process — How to Isolate Bad Data Cleanly
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Design Pattern // The Architecture of an ETL Process — How to Isolate Bad Data Cleanly

#sql #etl #database #architecture
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27 min read
Checking Data Quality with SQL — a Configurable Framework for Spotting Bad Data Generically
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Checking Data Quality with SQL — a Configurable Framework for Spotting Bad Data Generically

#sql #database #dataquality #tutorial
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13 min read
Is Claude a Woman or a Man? — and Why We Ask in the First Place
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Marcus

Is Claude a Woman or a Man? — and Why We Ask in the First Place

#watercooler #ai #claude #sql
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8 min read
Design Pattern // Safe Type Conversion with T-SQL — Catch Errors Instead of Aborting the ETL Process
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Marcus

Design Pattern // Safe Type Conversion with T-SQL — Catch Errors Instead of Aborting the ETL Process

#sql #sqlserver #database #etl
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17 min read
AI-Assisted SQL Development with Claude Code — Rules, Skills and Agents That Enforce Conventions
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Marcus

AI-Assisted SQL Development with Claude Code — Rules, Skills and Agents That Enforce Conventions

#ai #claude #sql #database
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7 min read
Data Quality: Dimensions and Error Classes — the Theory Behind the SQL Checks
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Marcus

Data Quality: Dimensions and Error Classes — the Theory Behind the SQL Checks

#dataquality #sql #database #dataengineering
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15 min read
Data Migration: SQL Server to PostgreSQL — the Complete Guide
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Data Migration: SQL Server to PostgreSQL — the Complete Guide

#postgres #sql #database #tutorial
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8 min read
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