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The New DBfication of ML/AI with Arun Kumar - #553
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Data Bases and Machine Learning Workflows
Goti: In a lot of ways, even the data bases can be large and complex. The overall work flow, it's hard to reduce to a single thing that its doing in the same way. Goti: Why did hadub take off? Why did map produce take off? It's because thata base people under appreciated the importance of et l. And so now you have park and data lakes and data lake houses. They kind of bridged this gap between the quarrying stack and the etel stack.
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