Today, @ducklabs_com is joining @awscloud. The move is expected to be completed by early September.
Joining AWS gives DuckLabs the resources and reach to bring DuckDB, DuckLake, and the Quack protocol to many more developers and organizations – and to pursue ideas at a scale
From JSON Strings to Typed Columns 🧵 🏛️
DuckDB’s `read_json` turns JSON files into tables. It reads through part of the data to work out a schema, then gives you typed columns.
However, a lot of JSON does not come as files. It comes as a text column: event payloads in a
If you're using the DuckDB Python client and planning to upgrade to v2.0, we baked a fresh nightly build for you! You can give it a try with:
pip install duckdb --pre --upgrade
If you find any issues, let us know on GitHub!
What’s Inside an Iceberg Table? 🧊 📦
An Apache Iceberg table looks like a regular table when you query it, but beneath the surface…well, it’s like an iceberg. 😅
Underneath, you’ll find a small tree of files: one JSON file at the top, a few layers of Avro files in the middle,
Using DuckDB to effortlessly modernize your legacy 🦆🧓🏽
In this talk from DuckCon, Nicolas Renkamp from Merck shares how the team used SQLFrame to migrate #PySpark to #DuckDB without any code changes
Watch the full presentation here: youtube.com/watch?v=F91vrV…
Or browse the
