Document Data Architecture: PDFs, Word Files, Extraction, and Search
How PDFs, Word files, forms, invoices, policies, and contracts become searchable and analyzable data.
Articles page 3: more writing on software architecture, data, distributed systems, runtime choices, reliability, and engineering leadership.
How PDFs, Word files, forms, invoices, policies, and contracts become searchable and analyzable data.
A practical architecture for video files, transcripts, scene metadata, search, moderation, and analytics.
How speech, calls, music, and machine sounds become searchable transcripts, fingerprints, and analytics signals.
How photos, screenshots, scans, and visual evidence move through object storage, metadata extraction, search, and analytics.
How support tickets, chats, reviews, notes, and pages become searchable and analyzable.
How JSON, XML, and flexible payloads move into document stores, lakehouses, search, and analytics.
A practical architecture for relational data from OLTP systems into search indexes, read models, and analytics stores.
How table shaped data moves through ETL into warehouses, lakehouses, dashboards, and searchable business records.
A practical map of data types from simple values to structured, relational, geospatial, time series, event, graph, metadata, and vector data.