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Standardizing Lookup Tables | Cleaning Messy Data in SQL (30‑Minute Challenge) | Day 34 -- MESSY DATA -- Customer Data ...

Rule-Based Cleaning Across Tables | Cleaning Messy Data in SQL (30‑Minute Challenge) | Day 35 --MESSY DATA -- Customers ...

An imported label can look right but contain spaces or inconsistent letter case. We will build a repeatable cleanup query, compare ...

Complex Regex Patterns | Cleaning Messy Data in SQL (30‑Minute Challenge) | Day 36 -- Messy Data CREATE TEMP TABLE ...

Fixing Orphan Records | Cleaning Messy Data in SQL (30‑Minute Challenge) | Day 30 -- MESSY DATA -- Customers CREATE ...

Multi‑Table Joins with Messy Keys | Cleaning Messy Data in SQL (30‑Minute Challenge) | Day 33 -- MESSY DATA -- Customer ...

Normalizing Parent–Child Tables | Cleaning Messy Data in SQL (30‑Minute Challenge) | Day 31 -- MESSY DATA -- Customers ...

Cleaning Fact + Dimension Tables | Cleaning Messy Data in SQL (30‑Minute Challenge) | Day 32 -- MESSY DATA -- Customer ...

Module 6 of the free SQL for Data Analytics course. Real data is messy. Learn CASE WHEN for your own labels, text functions ...

A messy signup import (11 rows, 9 distinct emails, 5 real customers) cleaned on real PostgreSQL 16 as a pipeline of named steps ...

Ever struggled with data type mismatch errors in SQL? In this video, we dive deep into the exact differences between the CAST() ...