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.
Machine Learning / AI
- Need for Data-centric ML Platforms. When we do ML projects, it comes naturally to have a model-centric approach to the project. This Databricks blog post argues that having a data-centric view increases the chances for success. Very interesting!
- Azure Data Explorer and the Kusto Query Language. This blog post is part one of a two-part series looking at Azure Data Explorer (ADX) and Kusto; its query language. This post introduces ADX and looks briefly into what you can do with Kusto. After having read this post, I look forward to part two!
- Update on geospatial functions. In last weeks roundup, I mentioned a post about geospatial functions in Apache Pinot. The post I link to is also about geospatial functions, but this time in Azure Data Explorer. Man, you can do some cool stuff with geospatial queries!
- Get Your Free Copy of Delta Lake: The Definitive Guide (Early Release). Databricks has for a long time been talking about the Lakehouse architecture and how their Delta Lake table format can help create Lakehouses. This post announces the first book about Delta Lake and Lakehouses. I have already downloaded the book, and I suggest you do the same.
Streaming / Data Architecture
- Saxo Bank’s Best Practices for a Distributed Domain-Driven Architecture Founded on the Data Mesh. I have covered posts about the Data Mesh in quite a few previous roundups, and this post is another one around data meshes. It looks at 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. The post also contains very, very useful references! The post is a must-read if you are interested in data architecture!
WIND (What Is Niels Doing)
Figure 1: I Am Speaking
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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