6 articles tagged with "Mlops"

Iceberg unifies streaming and historical data with metadata-driven ACID tables, time travel, and AI-ready file formats.

Build low-latency live video pipelines with a unified lakehouse streaming approach, efficient state stores, and medallion data layers.

Build end-to-end Databricks portfolio projects that integrate Snowflake and Airflow to showcase ML, ELT, and orchestration skills.

Build real-time anomaly detection pipelines in Databricks using Delta Live Tables, Unity Catalog, Isolation Forest models, and SQL alerts.

Compare Flink, Spark Structured Streaming, Kafka Streams, and Kinesis—learn latency, state management, time semantics, and how to choose the right framework.

A portfolio, not a resume, is the proof you need to land AI engineering roles—focus on 3–5 production-ready projects with live demos and measurable impact.