Throughout the week, I read a lot of blog-posts, articles, etc., 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 is the “roundup” of the posts that has been most interesting to me, for the week just gone by.
- Hey! What’s the deal with SQL Server NOCOUNT and T-SQL WHILE loops?. Lonny investigates
NOCOUNTand potential performance implications using it.
- SQL Server 2017: The world’s first enterprise-class diskless database. A very interesting post from Bob Ward discussing extremely impressive SQL Server 2017 performance figures, where SQL Server runs on SUSE Linux on boxes equipped with Hewlett Packard Enterprise scalable persistent memory.
- Confluent Cloud: Enterprise-Ready, Hosted Apache Kafka is Here!. You can now host Confluent Cloud in AWS without having to think about deploying servers, monitoring load, and upgrading brokers. This is cool, but now I want to see it on Azure as well.
- Introducing Confluent Platform 4.0. Quite a few Confluent/Kafka notifications this week. This is about a new version of the Confluent Platform. As the title says; version 4.0. Confluent Platform improves Apache Kafka by expanding its integration capabilities, adding tools to optimize and manage Kafka clusters, and methods to ensure the streams are secure.
- Toward a Functional Programming Analogy for Microservices. Yet another post about Kafka. This talks about implementing microservices using functional programming model, together with CQRS, Event Sourcing and Kafka. Really, really interesting read!
- Developing and Operationalizing H2O.ai Models with Azure. This post provides an overview of how to efficiently develop and operationalize H2O.ai ML models on Azure.
- On dataflow systems, Naiad and Tensorflow. Murat looks at data flow systems and compares TensorFlow with Microsoft’s Naiad. I obviously had heard about TensorFlow, and even written blog-posts about it, but Naiad was new to me. It sounds very interesting but when you look at the GitHub repo, the newest contributions are 3 years old.
That makes me winder whether the project is still alive.Reading some comments in the repo, it seems Naiad is abandoned - pity!
SQL Server R Services
- Microsoft SQL Server R Services - Internals XV. A continuation of what I covered in [Internals - XIV], here I look at packets sizes as in TDS vs. BXL. I also look at what happens inside SQL Server when it sends a BXL packet to the SQL Satellite.
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.
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