mlops

My Linked Notes

• 2020-10-23
  
  • More and more links about [[AI Data Landscape]] and [[MLOps]] everyday. Here are some of my recent favorites
    • https://mattturck.com/data2020/
      • The image Matt gives in this one is insane. It's proof as to why it is so hard for people to wrap their minds around what a production data stack should look like. And why it is so hard for outsiders to figure out what the hell any of the tools or people in this industry even do...
    • https://huyenchip.com/2020/06/22/mlops.html
      • This one is probably my favorite. Chip gives some fantastic visuals breaking down tools into
        • All-in-one
        • Serving
        • Infra
        • Data Pipeline
        • Modeling & Training
      • A big takeaway is that the Data Pipeline was the first focus, followed by Modeling and Training tools, and now Serving is on the rise. This is a natural progression and makes it clear that modeling and better cloud infra tools will likely follow, as more and more teams realize serving a model is not the last step in the process
    • https://a16z.com/2020/10/15/the-emerging-architectures-for-modern-data-infrastructure/
      • More great images. It lays out 3 different data stacks for three different types of companies.
        • The graphics are intense at first, but do help give a good understanding of the differences
      • convergence of [[data lake]] and [[data warehouse]]
• 2020-10-25
  
  • [[AI Data Landscape]] and [[MLOps]] continue to get more blog posts about what's currently happening. Block continues to be hot [[2020-10-23]]

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