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
- 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.
- Enabling Data Discovery in a Data Mesh: The Saxo Journey. In the roundup for week 26, I wrote about how Saxo Bank in Denmark has moved to a domain-driven data architecture with Kafka as an integral part and the lessons learned/best practices. This post is a follow-up, and in this post, Saxo Bank writes about its data infrastructure with an in-house central data management application and how Saxo Bank approaches and solves data inconsistency issues. As with the previous article, this is a must-read!
- The Duality of Streams and Tables - Why It Matters?. When you read articles, blogs about Kafka and stream processing, you may have come across the statement about the duality between streams and tables. When I have read about it, I must admit that I have not really “grasped” it, that is, until now. The post linked to explains in a way that even I can understand the concepts behind the stream-table duality. Good job!
- Announcing ksqlDB 0.19.0. In the roundup three weeks ago I wrote about the new functionality in KStreams - the foreign-key join, and how I looked forward to it appearing in ksqlDB soon. Well, it must be Christmas, as my wish has come through. The post I link to announces ksqlDB 0.19, and one of the new features in the release is the foreign-key join. How awesome is that?!
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.