Interesting Stuff - Week 34, 2022

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Throughout the week, I read a lot of blog-posts, articles, and so forth that has to do with things that interest me:

  • AI/data science
  • data in general
  • data architecture
  • streaming
  • distributed computing
  • SQL Server
  • transactions (both db as well as non db)
  • and other “stuff”

This blog post is the “roundup” of the things that have been most interesting to me for the week just ending.

Azure Data Explorer

Data Architecture

Streaming

  • Streaming-First Infrastructure for Real-Time Machine Learning. This article covers the benefits of streaming-first infrastructure for two scenarios of real-time ML. First is online prediction, where a model can receive a request and make predictions as soon as the request arrives. The second is continual learning when machine learning models can adapt to changes in production data distributions. Very, very cool! We have just now started looking at it at Derivco.
  • Machine Learning Streaming with Kafka, Debezium, and BentoML. This post looks at using modern data-related tools to integrate a Machine Learning model with a “production” database. This is so we can make real-time predictions as new records are added.

~ Finally

That’s all for this week. I hope you enjoy what I did put together. Please comment on this post or ping me if you have ideas for what to cover.


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