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.
- Article Series - .NET Core - 2nd Series. An InfoQ series, exploring some of the benefits of .NET Core and how it can help traditional .NET developers and all technologists that need to bring robust, performant and economical solutions to market.
- Profiling Concurrent .NET Code with BenchmarkDotNet and visualizing it with Concurrency Visualizer. A blog post by Adam Sitnik who is .NET Mr Performance. In the post, he talks about how to profile multithreaded .NET code using BenchmarkDotNet and Concurrency Visualizer. If you are a .NET developer, do yourself a favor and follow Adam.
- Getting Your Feet Wet with Stream Processing – Part 1: Tutorial for Developing Streaming Applications. The first part of a two-part blog series about developing and validating real-time streaming applications. This part is an introduction to streaming application development.
- Introducing Databricks Runtime 5.1 for Machine Learning. A blog post which introduces the latest beta release of Databricks runtime for Machine Learning (version 5.1). The release includes some of the best frameworks for deep learning.
SQL Server 2019
- How to automate machine learning on SQL Server 2019 big data clusters. This post explores how to use automated machine learning (AutoML) to create new machine learning models over data in SQL Server 2019 big data clusters.
- The January release of Azure Data Studio. A post announcing the latest release of Azure Data Studio. Go and download it from here.
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.