Videos and Online Events

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

2026-01-27

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

2026-01-21

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

2026-01-21

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

2026-01-13

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

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

2025-11-20

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

"The Unbearable Bigness of Small Data" video thumbnail

2025-11-05

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

"Building AI Applications That Need Analytics" video thumbnail

2025-09-10

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

"Practical AI Workflows For Data Professionals" video thumbnail

2025-04-10

Practical AI Workflows For Data Professionals

4 lightning talks on practical AI workflows: -Mehdi: MCP feedback loops for faster data engineering cycles -Archie: Cursor configs for data app dev -Nate: LLMs + SQL for CRM cleaning -Evelyn: Auto-generated data catalog descriptions

Interview

AI, ML and LLMs

Data Quality

Data Pipelines

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

50:21

2024-10-09

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