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.
- Announcing automated ML capability in Azure Machine Learning. Somehow I must have missed this post announcing Azure Automated Machine Learning. What is it? Well, it is a way for the Azure Machine Learning Service to automatically pick an algorithm for you, and generate a model from it. It sounds really interesting, and this is something I need to take a look at.
That’s a Wrap! Kafka Summit San Francisco 2018 Roundup. The San Francisco Kafka Summit ran October 16 - 17, and this blog post is a summary of the conference. It also has links to some interesting sessions, and out of those, these are my three favorites:
Stateful Stream Processing: Apache Flink State Backends. This post explores stateful stream processing and more precisely the different state backends available in Apache Flink. It presents the 3 state backends of Apache Flink, their limitations and when to use each of them depending on case-specific requirements.
Apache Kafka on Kubernetes – Could you? Should you?. This is a post discussing whether you should run Kafka on Kubernetes or not. At work, we are in the process of rolling out our first Kafka deployments, (not on Kubernetes), and this post definitely gives us “food for thought”.
WIND (What Is Niels Doing)
Yeah, I kind of ask myself that question as well (what am I doing): at the moment I have a hard time getting any blog posts out, as I am busy at work as well as trying to get to grips with SQL Server 2019 Big Data Clusters. I hope to be able to publish something in a week (or twos) time.
In the meantime, if you are interested in SQL Server 2019, go and have a read at these two posts:
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.