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Videos and Online Events

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

51:02

Oct 21, 2026

How Hazel Built an AI Coworker

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

"Aligned on Numbers: How Our Chief of Staff Builds Internal Data Apps with Agents at MotherDuck" video thumbnail

44:21

Oct 15, 2026

Aligned on Numbers: A Chief of Staff's Data Apps

Zoey Weaver interviews Kaitlyn Henry, MotherDuck's Chief of Staff, as she walks through two internal data apps: an AI token spend tracker built on a Flight and a weekly business review Dive. She explains how Guides, markdown files that define the company's key metrics, keep everyone's numbers consistent.

Stream

MotherDuck Features

AI ML and LLMs

"Jev for Analytics: 5 Use Cases on Real Data" video thumbnail

43:57

Oct 8, 2026

Jev for Analytics: 5 Use Cases

Mehdi Ouazza uses MotherDuck's prompt_jev() to turn text columns into columns you can GROUP BY. He classifies 100,000 consumer complaints, then walks through five use cases on real data: AI agent logs, Hacker News sentiment, sales calls, and two kinds of job-ad analysis.

Stream

MotherDuck Features

AI ML and LLMs

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

51:58

Oct 1, 2026

Build a Data Agent in 60 Minutes

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

Sep 29, 2026

prompt_jev(): SQL-Native Text Classification

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

"DuckDB's agent moment (Jordan Tigani)" video thumbnail

54:22

Jun 18, 2026

DuckDB's agent moment (Jordan Tigani)

Jordan Tigani helped build BigQuery, then left to bet that most data isn't actually big. Three years later, the agent era is making his case for him. In this conversation on The Analytics Engineering Podcast, he and host Tristan Handy talk about how MotherDuck and DuckDB fit together, why a single-node database makes more sense than you'd think for agents, and what it would actually look like to have a swarm of agents managing your data.

YouTube

AI, ML and LLMs

Interview

"Zero-Latency Analytics in Your Application with Dives" video thumbnail

60:41

Apr 9, 2026

Zero-Latency Analytics in Your Application with Dives

BI tools were never built to be app interfaces — they're rigid, clunky, and add complexity to your user experience. Dives offer a different approach: interactive data apps you create with natural language that can be embedded directly into your applications. In this session, Alex Monahan walks through how to build a Dive and embed it in your app, with help from AI agents. You'll learn how to create interactive visualizations with natural language queries, embed Dives into your app with a secure sandbox, set up the auth flow so your users get read-only access without exposing credentials, and choose between server-side and dual execution with DuckDB-Wasm. Whether you're building customer-facing analytics or internal tools, this webinar shows you the full workflow from query to production-ready embed. See how Claude Code + Dives can get you from zero to a working data app fast.

Webinar

MotherDuck Features

BI & Visualization

App Development

"All About DuckLake: The O'Reilly Book" video thumbnail

55:29

Apr 2, 2026

All About DuckLake: The O'Reilly Book

Matt Martin and Alex Monahan, coauthors of O'Reilly's DuckLake: The Definitive Guide, discuss what DuckLake is, how it simplifies lakehouse architecture, and why it replaces file-based metadata with a SQL database. Includes a live Q&A and the release of Chapter 1.

Webinar

Ecosystem

"Shareable visualizations built by your favorite agent" video thumbnail

1:00:10

Feb 25, 2026

Shareable visualizations built by your favorite agent

You know the pattern: someone asks a question, you write a query, share the results — and a week later, the same question comes back. Watch this webinar to see how MotherDuck is rethinking how questions become answers, with AI agents that build and share interactive data visualizations straight from live queries.

Webinar

AI ML and LLMs

MotherDuck Features

" Preparing Your Data Warehouse for AI: Let Your Agents Cook" video thumbnail

Jan 27, 2026

Preparing Your Data Warehouse for AI: Let Your Agents Cook

Jacob and Jerel from MotherDuck showcase practical ways to optimize your data warehouse for AI-powered SQL generation. Through rigorous testing with the Bird benchmark, they demonstrate that text-to-SQL accuracy can jump from 30% to 74% by enriching your database with the right metadata.

AI, ML and LLMs

SQL

MotherDuck Features

Stream

Tutorial

"No More Writing SQL for Quick Analysis" video thumbnail

0:09:18

Jan 21, 2026

No More Writing SQL for Quick Analysis

Learn how to use the MotherDuck MCP server with Claude to analyze data using natural language—no SQL required. This text-to-SQL tutorial shows how AI data analysis works with the Model Context Protocol (MCP), letting you query databases, Parquet files on S3, and even public APIs just by asking questions in plain English.

YouTube

Tutorial

AI, ML and LLMs

"The MCP Sessions - Vol 2: Supply Chain Analytics" video thumbnail

Jan 21, 2026

The MCP Sessions - Vol 2: Supply Chain Analytics

Jacob and Alex from MotherDuck query data using the MotherDuck MCP. Watch as they analyze 180,000 rows of shipment data through conversational AI, uncovering late delivery patterns, profitability insights, and operational trends with no SQL required!

Stream

AI, ML and LLMs

MotherDuck Features

SQL

BI & Visualization

Tutorial

" The MCP Sessions Vol. 1: Sports Analytics" video thumbnail

Jan 13, 2026

The MCP Sessions Vol. 1: Sports Analytics

Watch us dive into NFL playoff odds and PGA Tour stats using using MotherDuck's MCP server with Claude. See how to analyze data, build visualizations, and iterate on insights in real-time using natural language queries and DuckDB.

AI, ML and LLMs

SQL

MotherDuck Features

Tutorial

BI & Visualization

Ecosystem

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

Dec 10, 2025

Watch Me Deploy a DuckLake to Production with MotherDuck!

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

"Data-based: Going Beyond the Dataframe" video thumbnail

Nov 20, 2025

Data-based: Going Beyond the Dataframe

Learn how to turbocharge your Python data work using DuckDB and MotherDuck with Pandas. We walk through performance comparisons, exploratory data analysis on bigger datasets, and an end-to-end ML feature engineering pipeline.

Webinar

Python

AI, ML and LLMs

"In the Long Run, Everything is a Fad" video thumbnail

Nov 5, 2025

In the Long Run, Everything is a Fad

Benn Stancil uses Olympics gymnastics scoring to argue data's quantification obsession is generational. We went from vibes to math and may return to AI-powered vibes. Will dashboards matter to the next generation?

Talk

BI & Visualization

"The Unbearable Bigness of Small Data" video thumbnail

Nov 5, 2025

The Unbearable Bigness of Small Data

MotherDuck CEO Jordan Tigani shares why we built our data warehouse for small data first, not big data. Learn about designing for the bottom left quadrant, hypertenancy, and why scale doesn't define importance.

Talk

MotherDuck Features

Ecosystem

SQL

BI & Visualization

AI, ML and LLMs

"DuckDB At Scale" video thumbnail

Sep 24, 2025

DuckDB At Scale

DuckDB is loved by SQL-ophiles for small data workloads. How do you make it scale? What happens when you feed it Big Data? What is DuckLake? This talk answers these questions from real-world experience running DuckDB in the cloud.

MotherDuck Features

SQL

Talk

BI & Visualization

Python

"Building AI Applications That Need Analytics" video thumbnail

Sep 10, 2025

Building AI Applications That Need Analytics

Jordan Tigani explores how AI applications can leverage analytics databases to answer complex questions. LLMs struggle with calculations and private data. Enter "Hyper-Tenancy" for isolated cloud instances.

AI, ML and LLMs

Short

SQL

MotherDuck Features

Talk

" Is BI Too Big for Small Data?" video thumbnail

17:03

Nov 17, 2024

Is BI Too Big for Small Data?

BI tools promise deep insights, but most teams only get noise. Discover why the classic data story fails and how a new small-data playbook can help you find real meaning in your metrics.

YouTube

BI & Visualization

"Duckfooding at MotherDuck" video thumbnail

40:09

Oct 14, 2024

Duckfooding at MotherDuck

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

"Big data is dead, analytics is alive." video thumbnail

50:21

Oct 9, 2024

Big data is dead, analytics is alive.

Till and Adithya from MotherDuck discuss DuckDB’s impact on analytics and AI, showcasing its fast, versatile in-process SQL and AI features like text-to-SQL, vector search, and query correction—powerful analytics even on your laptop.

AI, ML and LLMs

Interview

"Leveraging DuckDB and Delta Lake Together" video thumbnail

1:02:10

Jul 24, 2024

Leveraging DuckDB and Delta Lake Together

Quack & Code on table formats and Delta Lake with Holly Smith from Databricks. Can you use DuckDB and MotherDuck to query your data lakehouse based on Delta Lake? Yes! And Delta Lake provides a better format than Parquet.

YouTube

Sources

Quack & Code

"What's new in DuckDB & MotherDuck 🦆" video thumbnail

0:33:54

Jul 11, 2024

What's new in DuckDB & MotherDuck 🦆

Join Mehdi Ouazza for a fun session to discuss all the new things in DuckDB and MotherDuck as of July 2024. He's flying solo this time for a special episode; he will quack but code too, so get ready!

YouTube

Quack & Code

MotherDuck Features

"Getting Started with MotherDuck Webinar" video thumbnail

0:41:41

Jun 19, 2024

Getting Started with MotherDuck Webinar

MotherDuck co-founder Ryan Boyd and Produck Expert Nathaniel Thompson provide an overview on MotherDuck, featuring DuckDB analyst ergonomics, Column Explorer, Fixit, Tableau visualization, Python data analysis, Wasm and more.

Webinar

MotherDuck Features

"MotherDuck GA Produck Tour" video thumbnail

0:03:35

Jun 12, 2024

MotherDuck GA Produck Tour

Produck expert Nathaniel Thompson gives an overview of the MotherDuck cloud data warehouse and then takes you on a tour of executing queries, data profiling with Column Explorer, FixIt AI-powered query correction, dual query execution ++

YouTube

MotherDuck Features

"Unfinished Business: Re-inventing 'modern' data tools" video thumbnail

May 1, 2024

Unfinished Business: Re-inventing 'modern' data tools

Watch Jordan Tigani (MotherDuck) and Colin Zima (Omni) for a 🦆 quackingly 🦆 candid discussion about what the last generation of data tools got right and wrong, and why they both think they can build something even better this time.

YouTube

BI & Visualization

Interview

"Friendly SQL with DuckDB" video thumbnail

0:54:38

Jan 5, 2024

Friendly SQL with DuckDB

Explore friendly and even friendlier SQL & DuckDB with Mehdi annd Alex Monahan! They discuss history, its future role in data and show some tips and tricks.

YouTube

SQL

Quack & Code