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Videos and Online Events

Feb 13
YouTube, MCP, AI, ML and LLMs

MCP: Understand It, Set It Up, Use It

Learn what MCP (Model Context Protocol) is, how its three building blocks work, and how to set up remote and local MCP servers. Includes a real demo chaining MotherDuck and Notion MCP servers in a single prompt.

"MCP: Understand It, Set It Up, Use It" video thumbnail

9:09

"Behind the Agent: How Hazel Built an AI Coworker for Consumer Brands" video thumbnail

51:02

How Hazel Built an AI Coworker

Oct 21, 2026 • Alex Monahan

Patrik Devlin, co-founder and CTO of Hazel, joins host Alex Monahan to show Hazel in a demo account and walk through the stack behind it: Fivetran and dlt into S3, dbt in MotherDuck, and a separate database for every customer.

Stream

MotherDuck Features

AI, ML and LLMs

Data Pipelines

"Virtual Workshop: Build a Data Agent in 60 Minutes" video thumbnail

51:58

Build a Data Agent in 60 Minutes

Oct 1, 2026 • Jacob Matson

Jacob Matson walks through a working data chat agent he built: MCP tools, an agentic loop, a tuned system prompt, hard-coded read-only guardrails, and telemetry. He demos it live against a real dataset, walks through the actual codebase, then shows the same backend re-platformed into a Slack bot.

Stream

MotherDuck Features

AI, ML and LLMs

Data Pipelines

"We Classified 100,000 Rows in 40 Seconds: Introducing prompt_jev()" video thumbnail

49:02

prompt_jev(): SQL-Native Text Classification

Sep 29, 2026 • Hamilton Ulmer, Dumky de Wilde, Jacob Matson

MotherDuck's new prompt_jev() function runs text classification directly from SQL using Jev, a decision-focused model from typesafe.ai. In a live demo, Jacob Matson, Dumky de Wilde, and Hamilton Ulmer showed it filtering, disambiguating, and re-ranking real data without leaving SQL. The number they kept coming back to: 100,000 rows classified at 89% accuracy in 40 seconds, compared to 32 minutes and $37.58 for a comparable LLM call.

Stream

MotherDuck Features

AI, ML and LLMs

Data Pipelines

"Writing robust data pipelines with AI" video thumbnail

41:41

Writing robust data pipelines with AI

Jul 22, 2026 • Mehdi Ouazza

AI writes data pipelines in seconds, but green isn't correct. Build robust data pipelines with AI: eyes on data, foundations, tests, and contracts.

Webinar

Data Pipelines

AI, ML and LLMs

MotherDuck Features

"From Source to Dashboard: Real Pipelines with Flights" video thumbnail

36:45

From Source to Dashboard: Real Pipelines with Flights

Jun 23, 2026 • Jacob Matson

Watch an AI agent build a data pipeline end to end in MotherDuck Flights: ingest, transform, and schedule it, then wire it into a live Dive dashboard.

Webinar

AI, ML and LLMs

Data Pipelines

MotherDuck Features

BI & Visualization

"Data Engineering Is AI Engineering" video thumbnail

47:05

Data Engineering Is AI Engineering

May 26, 2026 • Jacob Matson

Jacob Matson refactors a real NBA app with AI agent teams, revealing how data engineering patterns like DAGs and wave planning map directly to agent orchestration.

Webinar

AI, ML and LLMs

Data Pipelines

"Watch Me Deploy a DuckLake to Production with MotherDuck!" video thumbnail

Watch Me Deploy a DuckLake to Production with MotherDuck!

Dec 10, 2025 • Hoyt Emerson

In this video, Hoyt Emerson will show you the fastest way to get DuckLake into production using MotherDuck's beta implementation. If you've been following his DuckLake series, this is the next step you've been waiting for!

YouTube

Data Pipelines

Tutorial

MotherDuck Features

SQL

Ecosystem

"Can DuckDB revolutionize the data lake experience?" video thumbnail

16:37

Can DuckDB revolutionize the data lake experience?

Nov 22, 2024 • Mehdi Ouazza

Mehdi explores DuckDB as a catalog for Data Lake and Lakehouse pattern. He'll define what we mean by "data catalog", gives clear examples on how they work and dive into a pragmatic use case with DuckDB & MotherDuck.

YouTube

Data Pipelines

Sources

"Duckfooding at MotherDuck" video thumbnail

40:09

Duckfooding at MotherDuck

Oct 14, 2024 • Nick Ursa

In this talk at our MotherDuck NYC meetup [warning: bad sound], Nicholas Ursa talked about the paradigm shift from distributed computing and the Big data era to MotherDuck. He then explains how we build our internal data warehouse.

YouTube

Data Pipelines

Meetup

Talk

"Local Dev, Cloud Prod with Dagster and MotherDuck" video thumbnail

0:52:48

Local Dev, Cloud Prod with Dagster and MotherDuck

Apr 22, 2024 • Alex Monahan, Colton Padden

Develop locally and ship to production confidently with Dagster data pipelines, Evidence dashboards powered by DuckDB and Markdown, and the MotherDuck cloud data warehouse.

YouTube

Data Pipelines

"DuckDB & dbt | End-To-End Data Engineering Project (2/3)" video thumbnail

0:37:25

DuckDB & dbt | End-To-End Data Engineering Project (2/3)

Mar 1, 2024 • Mehdi Ouazza

@mehdio is taking you to part 2 of this end-to-end data engineering project series: transform data using dbt and DuckDB! You will be leveraging all the in-memory capabilities of DuckDB to smooth your development process and deployment to t

YouTube

Data Pipelines

dbt

Tutorial

Ecosystem

"Beyond Data Engineering ft. Joe Reis" video thumbnail

0:29:00

Beyond Data Engineering ft. Joe Reis

May 12, 2023 • Mehdi Ouazza, Joe Reis

Mehdi sat down with O’Reilly author Joe Reis to discuss different aspects of data engineering. They touched on the fears surrounding data, the critical role of communication, and more.

YouTube

Interview

Data Pipelines