Explains how to prepare a data lakehouse for EU AI Act compliance, focusing on data lineage and provenance.
Technical guide on preparing data lakehouses for EU AI Act compliance, focusing on auditable lineage and data provenance.
Explores integrating MLflow 3 with data pipelines for unified observability, covering data lineage, drift detection, and CI/CD for ML.
Explains core data engineering concepts: metadata, data lineage, and governance, and their importance for scalable, compliant data systems.
An interview with Salma Bakouk, CEO of Sifflet, discussing data stack observability, data quality, lineage, and building a modern data team.
