9 articles in this category
You've heard it a thousand times: 'Know your data.' But what happens when knowing your data means tracking every ancestor, every copy, every tweak, fo...
You've been tracking data lineage for years. Every transformation, every pipeline run, every schema change – it's all there in your provenance store. ...
You've got a data lineage that stretches back years—maybe decades. And somewhere in that chain, a bias got welded in. Could be a sensor calibration dr...
You've got a data pipeline that needs to prove where every record came from — and prove it ten years from now. Maybe it's medical imaging, financial t...
You inherit a data pipeline. The docs are stale, the original engineer left two years ago, and a critical field called source_transaction_id appears i...
You are choosing a provenance policy today. Maybe for a digital archive, a scientific data repository, or a national record. The temptation is to spec...
You build a provenance system to track every transformation, every source, every trust anchor. Ten years later, your company is acquired and dissolved...
Imagine your company gets sued. The opposing counsel demands all records related to a buyer transaction from three years ago. You know the data exists...
Deciding how to track data lineage for decades, not quarters, forces hard trade-offs. Most provenance conversations focus on immediate debugging or co...