Practical Applications for DuckDB (with Simon Aubury & Ned Letcher)

DuckDB's become a favourite data-handling tool of mine, simply because it does so many small things well. It can read and write a huge number of data formats; it can infer schemas automatically when you just want to move quickly; and it can interface with most languages, run like lightning on the desktop or be embedded into a webpage. I'm a huge fan. But I'm not nearly as knowledgeable as this week's two fans, Simon Aubury and Ned Letcher, who've just written a book on all the many ways you can use DuckDB and all the hidden tricks and tips that help you make the most of this. So in this episode we're taking a practical look at DuckDB, what problems it can solve at work, and how to start getting the most out of it. – Getting Started with DuckDB (book): https://packt.link/byKYt DuckDB episode with Hannes Mühleisen: https://youtu.be/pZV9FvdKmLc DuckDB: https://duckdb.org/ dplyr, the data-manipulation language: https://dplyr.tidyverse.org/ duckplyr, DuckDB's 'native' version: https://github.com/duckdblabs/duckplyr Substrait: https://substrait.io/ Observable (Markdown+DuckDB=Reports): https://observablehq.com/framework/ DuckDB's "friendly" SQL: https://duckdb.org/docs/sql/dialect/friendly_sql.html Community Extensions: https://community-extensions.duckdb.org/ DuckCon #5: https://duckdb.org/2024/08/15/duckcon5.html Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join Simon on Twitter: https://x.com/SimonAubury Ned on Twitter: https://x.com/nletcher Kris on Mastodon: http://mastodon.social/@krisajenkins Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/ Kris on Twitter: https://twitter.com/krisajenkins