ALT “Data contracts” will become foundational to data pipelines for minimizing reverse engineering efforts and maximizing availability of ready-to-use data for ML and analytics use-cases – While ELT promises availability and scalability over ETL, the data lands in the warehouse in a total mess. Subsequently consumers (ML practitioners, analysts or business users) use tools to reverse engineer business metrics and insights while wrestling with a multitude of challenges around query complexity, data quality, lineage visibility, governance controls, varying model definitions or broken semantic relationships