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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

"DuckLake Performance Optimization: Faster Queries From Your Lakehouse" video thumbnail

64:46

DuckLake Performance Optimization

Oct 27, 2026 • Alex Monahan, Matt Martin

Alex Monahan and Matt Martin, co-authors of O'Reilly's DuckLake: The Definitive Guide, walk through how to make DuckLake queries faster: finding the bottleneck, partitioning and sorting so queries skip files and row groups, tuning Parquet settings together, and keeping the catalog lean.

Stream

SQL

MotherDuck Features

"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

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

44:21

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

Oct 15, 2026 • Kaitlyn Henry

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

Jev for Analytics: 5 Use Cases

Oct 8, 2026 • Mehdi Ouazza

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

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

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

60:41

Zero-Latency Analytics in Your Application with Dives

Apr 9, 2026 • Alex Monahan, Garrett O'Brien

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

"Agents That Build Tables, Not Just Query Them" video thumbnail

38:23

Agents That Build Tables, Not Just Query Them

Mar 17, 2026 • Jerel Navarrete, Jacob Matson

See how MotherDuck's new query_rw MCP tool lets AI agents write back to your data warehouse, creating tables, storing embeddings, and saving views.

Stream

AI, ML and LLMs

MotherDuck Features

SQL

"Building an Analytics Chatbot for your SaaS app in 1 day" video thumbnail

1:00:14

Building an Analytics Chatbot for your SaaS app in 1 day

Mar 11, 2026 • Ryan Boyd, Jerel Navarrete, Jacob Matson

Learn how to build a conversational AI chatbot for your SaaS product using the MotherDuck MCP server, with scoped data access and streaming responses.

Webinar

AI, ML and LLMs

Tutorial

MotherDuck Features

"Shareable visualizations built by your favorite agent" video thumbnail

1:00:10

Shareable visualizations built by your favorite agent

Feb 25, 2026 • Jacob Matson, Garrett O'Brien

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

Preparing Your Data Warehouse for AI: Let Your Agents Cook

Jan 27, 2026 • Jerel Navarrete, Jacob Matson

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

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

The MCP Sessions - Vol 2: Supply Chain Analytics

Jan 21, 2026 • Jacob Matson, Alex Monahan

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

The MCP Sessions Vol. 1: Sports Analytics

Jan 13, 2026 • Jacob Matson, Logan Toskey

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

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

"LLMs Meet Data Warehouses: Reliable AI Agents for Business Analytics" video thumbnail

LLMs Meet Data Warehouses: Reliable AI Agents for Business Analytics

Nov 19, 2025 • Ryan Boyd

LLMs excel at natural language understanding but struggle with factual accuracy when aggregating business data. Ryan Boyd explores the architectural patterns needed to make LLMs work effectively alongside analytics databases.

AI, ML and LLMs

MotherDuck Features

SQL

Talk

Python

BI & Visualization

"The Unbearable Bigness of Small Data" video thumbnail

The Unbearable Bigness of Small Data

Nov 5, 2025 • Jordan Tigani

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

DuckDB At Scale

Sep 24, 2025 • Jordan Tigani

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

Building AI Applications That Need Analytics

Sep 10, 2025 • Jordan Tigani

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