Why you need a unified feature engine, not a unified compute model
7 days ago
Blog
Many data systems claim to provide a “unified model for batch and streaming” – Apache Spark, Apache Flink, Apache Beam, etc. This is an exciting pro ...
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Data Day Texas
Austin / June 13, 2022
Speaking Opportunity
Speaker:
Ryan Michael, VP Engineering, Kaskada
More Info
From the Blog
Machine Learning for Data Engineers
3 weeks ago
Blog
As a data engineer, it is helpful to have a high-level understanding of machine learning to know how best to support data scientists in creating gre ...
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Feature Stores vs. Feature Engines
A month ago
Blog
In the ML world, feature stores are all the rage. They bring the power of MLOps to feature orchestration by providing a scalable architecture that s ...
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My Love / Hate Relationship With Jupyter
A year ago
Blog
Why Jupyter delights Data Scientists and terrifies Machine Learning Engineers.
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