S3 holds the documents, Iceberg holds the rows, and everything works right up until a number disagrees with its source PDF. Combining structured and unstructured data on AWS is an identity problem, not a storage one. Here are the five failure families that cause it, why each stays invisible until it isn't, and the ingestion order that avoids most of them.
Amazon Textract almost never fails loudly. A working guide to turning external PDFs and scans into structured data: picking the right operation per document family, parsing the block graph, routing on per-field confidence, and catching the limits that silently truncate your records.
Claims pipelines rarely crash. They succeed, emit clean JSON, and hand a wrong number to a payment system. Six failure families in an insurance claims processing pipeline on AWS, with the Textract, Bedrock Data Automation and Step Functions details that decide whether a bad extraction is visible or silent.
Valid JSON is not correct data. A practical guide to extracting clauses, parties, dates and obligations from contracts with Amazon Bedrock: the two build paths, schema design, the three failure families that produce confident wrong answers, and the validation layer that catches them.