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 Summit Boston / May 16 - 18, 2022
Hyatt Regency Boston | Boston, MA
Speaking Opportunity
Workshop: Basics of Machine Learning, May 16, 1 PM- 4 PM
Speaking opportunity: Finally, Realize Business ROI From ML: Unleash Your Event-Based Data, May 17th, 12 PM - 12:45 PM
Speaker: Dr. Charna Parkey, VP Product, Kaskada
Learn more here.
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- datasummit
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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