Interesting Stuff - Week 3, 2019

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.

Misc.

• An Incremental Architecture Approach to Building Systems. An InfoQ article about building systems and how, to avoid over-engineering, we should start with a simple architecture and evolve it as needs arise.

.NET

• System.Data in .NET Core 3.0. The first of two InfoQ articles about System.Data in .NET Core 3.0. The article looks at what changes there are in .NET Core 3.0 for System.Data.
• SQL Server and .NET Core 3.0. The second InfoQ article about System.Data in .NET Core 3.0. This time the attention is at System.Data.SqlClient, which is the SQL Server driver.

Streaming

• Getting Your Feet Wet with Stream Processing – Part 2: Testing Your Streaming Application. The second and last part of a two-part blog series about developing and validating real-time streaming applications. This post looks at how we test streaming applications.
• Scaling a Distributed Stream Processor in a Containerized Environment. This InfoQ article presents ideas and experiences around scaling a distributed stream processor in Kubernetes. The article discusses how the stream processor should identify the level of resource requirement and scale accordingly.
  

WIND (What is Niels Doing)

• SQL Server 2019 & Java with Visual Studio Code. A blog-post looking at how we can write SQL Server Java code using Visual Studio Code, the VS Code’s Java extension, and Maven.

If you are at Microsoft Ignite | The Tour in Johannesburg at the end of the month, please come by and say Hi! I deliver three sessions:

• What is That Cup of Coffee Doing in my Database? - A 15 minutes whirl-wind tour about the new Java language extension in SQL Server 2019.
• SQL Server Machine Learning Services: An E2E platform for machine learning - A 60-minute break-out session where we look at how SQL Server Machine Learning Services serves as an end-to-end ML platform for customers.
• Deep dive on SQL Server and big data - A 60-minute break-out session where we do a deep dive behind the technology for big data integration with SQL Server including Kubernetes, Polybase futures, and scalable performance.

~ Finally

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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