Mehdi chats with Adi Polak, the author of "Scaling Machine Learning with Spark", right after the DATA+AI summit by Databricks in San Francisco. They had an insightful discussion about ML, the basics of data, how LLMs help, ++.
37:22
2026-09-16
One CLI to query MotherDuck, publish Python pipelines, and host dashboards from the terminal. See when it beats the MCP server, and when it doesn't.
Stream
MotherDuck Features
AI, ML and LLMs
Data Pipelines
60:29
2026-08-26
Do AI agents need a semantic layer? Evals comparing plain-text context with a Malloy semantic layer show where each wins, and what it costs.
Stream
AI, ML and LLMs
BI & Visualization
SQL
63:17
2026-08-18
Agentic data engineering in practice: AI agents build dlt ingestion into MotherDuck and a governed Lightdash semantic layer, live in an hour.
Stream
AI, ML and LLMs
Data Pipelines
Ecosystem