Introduction: The Pain of Traditional Data Lakes

Over the last decade, cloud object storage (Amazon S3, Azure Blob, Google Cloud Storage) has become the de facto substrate for data lakes. The promise was alluring: cheap, durable, infinitely scalable storage with a “store first, model later” mindset.

But in practice, traditional data lakes quickly turned into “data swamps.” Engineers face recurring issues: