Ryan Boyd

LLMs excel at natural language understanding but struggle with factual accuracy when aggregating business data. Yet the infrastructure to bridge this gap finally exists.

It's time to re-think the mainframe model of centralized cloud warehouses which require complicated horizontal scaling on shared infrastructure to achieve performance. DuckDB is a lightweight SQL OLAP engine that can run in a browser on your laptop via WASM, in a local python app, and in the cloud.

It's time to re-think the mainframe model of centralized cloud warehouses which require complicated horizontal scaling on shared infrastructure to achieve performance. DuckDB is a lightweight SQL OLAP engine that can run in a browser on your laptop via WASM, in a local python app, and in the cloud.

The tech industry has been on a pendulum swinging between centralized and distributed computing power. We started with mainframes accessed through thin clients, moved to fully-functional PCs and now have these PCs backed by cloud compute -- the modern "mainframes."With advances in CPUs, memory, SSDs, and the software that enables it all, our personal machines are powerful beasts relegated to handl

Running data analysis using tools like Pandas, Scikit-Learn, or Apache Spark requires that your data be in a clean format. However, as data scientists, we're often forced to bring data in from many different sources and understand the relationships between the data before running our analysis.