What's new in DuckDB & MotherDuck 🦆

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

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Stay up-to-date with the latest in DuckDB and MotherDuck! This video is your guide to navigating the fast-moving world of data engineering content. We'll show you how to keep up with DuckDB updates, starting with essential resources like the "Awesome DuckDB" GitHub repository—a central hub for tools, libraries, and learning materials that recently hit 1,000 stars. We cover how to find the best DuckDB news and tutorials, including the MotherDuck community newsletter for monthly highlights, the events page for webinars, and community platforms like Slack, Discord, and Daily.dev for real-time discussions.

Discover the power of DuckDB extensions and the new community extension store, a major step forward for discoverability and ease of use. We demonstrate how simple it is to install and load community-built extensions, such as one for pulling Ethereum blockchain data, making complex data analysis more accessible. For those looking for a hands-on DuckDB tutorial, we walk through "DuckDB Stats," a complete end-to-end data project. This guide covers data ingestion, transformation with dbt, and building a live dashboard, offering a practical way to learn how to build a data pipeline with DuckDB.

We also dive into the latest MotherDuck features for your cloud data warehouse. MotherDuck now supports the Delta Lake extension, enabling you to query large Delta tables on S3 with the performance benefits of a cloud-native architecture. We also announce support for the powerful Spatial extension, opening up new possibilities for high-performance geospatial data analysis. Learn about interesting community content, such as using DLT for faster Postgres data loading, and how to get started with the DuckDB CLI for quick data tasks like converting CSV to Parquet—a great way to introduce its power to your data team. Finally, we preview our next episode, which will cover the Delta Lake table format with an expert from Databricks.