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.
- Databricks Photon vs Azure Synapse. This post is in Spanish, but as I know that the readers of my blog (all two of you) are fluent in Spanish, so that shouldn’t be a problem. Or - you could do what I did, translate it to English. The translation didn’t come out half bad, and the post compares the performance of Databricks and Azure Synapse. Interesting read!
- Podtato-head, Pulumi and Azure Container Apps. This post caught my eye as it mentions Pulumi. I am interested in Pulumi not so much for it being a cloud engineering platform, but for Joe Duffy being one of the founders. Joe is a very smart guy, and I keep an eye out for things he is doing. Anyway, I link to this post because of the reference to Azure Container Apps. ACA looks extremely cool, and I must look at it further.
Azure Data Explorer
- Using Azure Data Explorer timeseries capabilities in Power BI. The more I see of Azure Data Explorer (ADX), the more impressed I become. Take this post, for example, which looks at using PowerBI to hook into the time series capabilities of ADX. Soo cool!
- Azure Data Explorer for Real time alerts in Healthcare. One more post which makes me realise how awesome Azure Data Explorer is. This post looks at how you can “hook-up” Azure Logic Apps with ADX.
- Consuming over 1 billion Kafka messages per day at Ifood. Well, the title says it all! In the post, the author looks at the journey he had towards being able to consume a “shed-load” (“shed-load” is a technical term) of messages per day. The post has quite a few “tips and tricks”, so you should definitely read this post if you are a high volume Kafka consumer.
WIND (What Is Niels Doing)
As with last weeks roundup, this is not so much of what I am doing as of what I did:
Figure 1: Future Data Driven
And also, like last week, it is a recording for a presentation I did a while back. The presentation is Analyze Billions of Rows of Data in Real-Time Using Azure Data Explorer, and the conference was Future Data Driven.
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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