Practical notes on building reliable software by Arunkumar Ganesan

Graph Data Architecture: Relationships You Can Query

How relationship data supports fraud detection, recommendations, permissions, and connected search.

Geospatial Data Architecture: Location, Routes, and Spatial Search

How coordinates, zones, routes, polygons, and distance queries become reliable operational and analytical systems.

Event Stream Data Architecture: From Logs to Real Time Decisions

How event streams power ETL, search projections, analytics, alerts, and operational decisions.

Time Series Data Architecture: Metrics, Windows, and Fast Questions

How metrics, sensors, prices, and operational measurements are stored, rolled up, searched, and analyzed.

Document Data Architecture: PDFs, Word Files, Extraction, and Search

How PDFs, Word files, forms, invoices, policies, and contracts become searchable and analyzable data.

Video Data Architecture: Transcode, Index, Search, and Analyze

A practical architecture for video files, transcripts, scene metadata, search, moderation, and analytics.

Audio Data Architecture: Transcribe, Fingerprint, Search, and Analyze

How speech, calls, music, and machine sounds become searchable transcripts, fingerprints, and analytics signals.

Image Data Architecture: Store, Extract, Search, and Analyze

How photos, screenshots, scans, and visual evidence move through object storage, metadata extraction, search, and analytics.

Unstructured Text Data Architecture: Search, NLP, and Analytics

How support tickets, chats, reviews, notes, and pages become searchable and analyzable.