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The Xorq Blog
The latest on Xorq and AI data processing technologies and best practices.
From FeatureStore to FeatureHouse
In ~300 lines of Python, we build a FeatureHouse that ingests live weather, back-fills history, and serves sub-millisecond online features. It runs on DuckDB + DuckLake with Arrow Flight—no Spark cluster, no Redis required.
From FeatureStore to FeatureHouse
Learn how to create portable user-defined functions effectively.
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Pipelines as UDFs
Learn how to create portable user-defined functions effectively.
Xorq to Earth: Introducing Declarative, Multi-Engine Pipelines
Learn how to create portable user-defined functions effectively.
Augmenting Trino with DuckDB’s AsOf Join and PyTorch
Learn how to create portable user-defined functions effectively.
Migrating to uv - A Short Guide
Learn how to create portable user-defined functions effectively.
Making Deep Learning Workflows, Relational
Learn how to create portable user-defined functions effectively.
Built-in Inference for DataFrames
Learn how to create portable user-defined functions effectively.
Caching++ for DataFrames
Learn how to create portable user-defined functions effectively.
Creating Harlequin Adapter for Apache DataFusion
Learn how to create portable user-defined functions effectively.
Declarative Multi-Engine Data Stack with Ibis
Learn how to create portable user-defined functions effectively.
Pushing down ML in SQL Engines: A Exploration
Learn how to create portable user-defined functions effectively.
Using DataFusion’s UDAFs to do ML Training: A Exploration
Learn how to create portable user-defined functions effectively.
XGBoost Scoring Pipeline With DataFusion: An Exploration
Learn how to create portable user-defined functions effectively.
Simpler ML pipelines, Faster AI innovation.
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