Interesting Stuff - Week 13, 2021

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.

Distributed Computing

SQL Server

Data Architecture

  • Catching Data In a Data Mesh: Principles (Part I). This post is part of a series intending to give an in-depth view of how the Data Mesh architectural paradigm helps to build a data platform. This is part one, explaining the thinking about the mesh and the guiding principles for the implementation. After reading this post, be sure to read part two as well.
  • Making Data Lakehouse real yet effective. In previous roundups, I have linked to posts about data warehouses, data lakes, data lakehouses, etc. The post I link to here tries to explore and explain how all this hangs together.
  • Feature Store: Data Platform for Machine Learning. Feature stores are a relatively recent “innovation” in the Machine Learning world. A feature store is a data system that runs data pipelines that transform raw data into feature values, stores and manages the feature data, and serves feature data consistently for training and inference purposes. The post I link to here surveys the leading feature stores. As a side note: if you want to read more about feature stores, browse over to Feature Store for ML.

Streaming

~ Finally

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


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