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

  • data science
  • data in general
  • 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.

Data Architecture


  • around-dataengineering. The link here is not, so much a blog post, but a page with links to various interesting machine learning and data engineering technologies. When reading this, I found a lot of new interesting “stuff”.
  • Change Data Analysis with Debezium and Apache Pinot. This blog post looks at real-time analytics based on combining Debezium, with the real-time OLAP datastore, Apache Pinot. Very, very cool!


  • TwelveDaysOfSMT. Kafka has a functionality called Single Message Transforms (SMT). Using SMT, you can modify the data and its characteristics as it passes through the Kafka Connect pipeline, without needing additional stream processors. This page I have linked to here contains a list of blog posts by Robin Moffat, where he looks at various SMT types.

WIND (What Is Niels Doing)

Recently I have looked quite a bit at the open sourced SQL Server Language extensions, and the Python one specifically. In last weeks roundup I mentioned I had written a blog post looking at how to using the language extension with a Python runtime other than the one shipping in SQL Server Machine Learning Services. That post resulted in a couple of follow up posts, published the last few days:

There are a couple of more things I would like to look at around language extensions, so, you can expect some more posts about the new open-sourced language extensions in the following weeks.

~ 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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