Data Engineering Presentation Scalability Tuning 
InfoQ
MAY 8, 2024
Jules Damji discusses which infrastructure should be used for distributed fine-tuning and training, how to scale ML workloads, how to accommodate large models, and how can CPUs and GPUs be utilized? By Jules Damji
InfoQ
APRIL 15, 2024
He specifically delved into Venice DB, the NoSQL data store used for feature persistence. The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning. By Rafal Gancarz
The Netflix TechBlog
DECEMBER 21, 2020
This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture. Some of the optimizations are prerequisites for a high-performance data warehouse. Orient: Gather tuning parameters for a particular table that changed.
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