From Chaos to Clarity: Taming Data with PowerShell
summary
Demos show PowerShell importing from SQL, REST and files, shaping with Sort-Object/Select-Object/Group-Object/Measure-Object, and exporting to CSV JSON XML YAML or a SQLite file that roundtrips—32 lines of code installs SQL via Chocolatey and finishes in ~10 minutes. A JSON-driven pipeline normalizes multiple log formats, a PSAI agent calls ChatGPT to normalize messy job titles and returns standardized values, and an atomic save with lock files plus rotating backups keeps writes safe and reproducible (keeps 10 backups).
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chapters (9)
- 0:00Taming data with PowerShell
- 2:20Demo setup SQL Server PowerShell
- 3:01Shaping data PowerShell commands
- 9:08Data export CSV JSON XML YAML
- 18:31Normalizing job titles AI
- 21:42Storing data SQL dbatools
- 23:31Normalizing logs rules
- 29:22Protecting files atomic updates
- 35:34Q&A
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