How OpenLineage collects lineage from Airflow, Spark, Flink, and dbt, and how to use it for blast radius analysis, SLA tracking, and Marquez or DataHub.
Feature stores like Feast now support streaming feature views from Kafka and Kinesis alongside batch pipelines.
How MLflow 3 connects ML experiments to data pipelines: training data lineage, input quality checks, model vs. data drift, CI/CD, and scheduling with Airflow.
LanceDB and Apache Iceberg serve complementary roles in a multimodal AI lakehouse. Learn when to use Lance for embeddings and random access, and Iceberg.
