221 Lectures Rescued in 5 Automated Phases
Automated archive audit and cloud migration for a terabyte-scale media library — from scattered drives to verified cloud backup.
600+
Lectures processed20
Courses sorted5
Automation phases0
Data lossThe Challenge
600+ lectures across 20 courses scattered across multiple drives. Inconsistent naming, missing files, broken folder structures. No inventory, no verification. One drive failure away from permanent content loss.
Manual sorting would take weeks and miss gaps. The archive needed systematic processing, not human patience.
The Approach
Designed a 5-phase automated pipeline:
Phase 1 — Discovery: Python scripts crawl all storage, build complete inventory, identify duplicates and gaps.
Phase 2 — Sorting: Automated categorization by course, type, and sequence via filename parsing and metadata extraction.
Phase 3 — Audit: Cross-reference against course manifests. Flag missing lectures, corrupt files, version conflicts.
Phase 4 — Verification: Automated integrity checks — codec, resolution, duration, audio sync.
Phase 5 — Cloud Sync: GoodSync deployment to OneDrive with verified mirroring and change tracking.
Discovery
Crawl all storage, build inventory
221 files foundSorting
Categorize by course, type, sequence
22 courses identifiedAudit
Cross-reference manifests, flag gaps
0 missing filesVerification
Integrity checks: codec, resolution, sync
100% validatedCloud Sync
GoodSync → OneDrive, verified mirroring
Fully synced
Timeline showing 5 automation phases: Discovery, Sorting, Audit, Verification, and Cloud Sync.
The Result
600+ lectures, 20 courses — fully sorted, audited, verified, and cloud-synced. Zero data loss. The process is documented and repeatable for future archives.
