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 Science / Machine Learning
- Announcing ML.NET 1.2 and Model Builder updates (Machine Learning for .NET). So, ML.NET has come a long way since its inception, and I have covered it on and off in these roundups during the last year or so. In the linked blog post, Microsoft introduces ML.NET 1.2, with some cool new features. I particularly like the time series support and the updates to Model Builder.
- Implementing new tech in your company is tougher than you think. The topic of this blog post is close to my heart; getting new technologies into a company. The post talks about some of the “barriers to entry” when it comes to new tech. Well worth a read!
- Enterprise Data Architecture. This post is a white paper about data architecture and data architects. It tries to define what data architecture is and what it means to be a data architect. Very interesting!
SQL Server 2019
- Set Your SQL Server Data Free with Kafka: Extensibility Framework. In this post by yours truly I look at how we can push data from SQL Server 2019 to Apache Kafka by the use of SQL Server Extensibility Framework, and the Java language extension.
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.