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.


  • Python in Visual Studio Code – October 2021 Release. In early October, Python 3.10 stable was released. Hot on the heels of that release comes what is mentioned in this blog post: a new release of the VS Code Python extension. The post looks at some of the significant new features and fixes. One of the new features is an improved “getting started experience” for Python in VS Code. Since I have had issues in the past getting Python up and running, I think I will uninstall my existing Python extension and try this improved extension from “scratch”.

SQL Server Big Data Cluster

Azure Data Explorer

  • Aligning Timeseries Application Requirements into Azure Data Explorer (ADX). Time series analysis has become critical in almost any analytical application. This blog post looks at the support for time series analysis in Azure, more specifically in Azure Data Explorer. After reading the post, I think it is safe to say that the support in ADX is “pretty darn good”.
  • Kusto Query Language 101. Above, we spoke about time series analysis in Azure Data Explorer. It is all good and well that we have that functionality, but how do we query ADX? Well, if you read the post linked to, you will get a “crash course” in the query language for ADX: Kusto Query Language (KQL).


~ 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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