Posts

All the articles I've posted.

• 13 MIN READ•May 24, 2026

  Lance and Iceberg for Multimodal AI Data

  LanceDB and Apache Iceberg serve complementary roles in a multimodal AI lakehouse. Learn when to use Lance for embeddings and random access, and Iceberg for structured metadata and SQL analytics.

  Lancedb Iceberg Multimodal Ai DataLancedb FormatLance Vs Iceberg
• 13 MIN READ•May 24, 2026

  Bringing MLflow and Data Pipelines Closer Together

  MLflow 3 extends observability from classic ML experiments to GenAI tracing and data pipeline lineage. Learn how to connect data quality monitoring with model performance tracking.

  Mlflow Data Pipeline ObservabilityMlflow 3 Genai TracingMlflow Data Quality Monitoring
• 14 MIN READ•May 24, 2026

  Modern Feature Stores Beyond Batch Pipelines

  Feature stores like Feast now support streaming feature views from Kafka and Kinesis alongside batch pipelines. Learn how to build real-time features that maintain training-serving consistency.

  Feature Store Streaming Real-Time MlFeast Streaming FeaturesOnline Offline Feature Store