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, this week.

This week it is mostly data science, so without further ado, let’s get cracking:

Data Science

Distributed Computing

  • Scaling Counting Infrastructure @Quora. An InfoQ presentation about Quanta, which is Quora’s counting system powering their high-volume near-real-time analytics.
  • Making Sense of Stream Processing. A download link for an eBook covering how stream processing can make your data processing systems more flexible and less complex. I include it here as the book discusses Kafka (which I think is awesome, Kafka I mean).

SQL Server

  • Introducing SQL Server on Linux. A YouTube video about SQL Server on Linux, including how you can: download and install SQL Server on a Linux Virtual Machine; run your SQL Server-based apps inside of Docker containers and improve the performance of your applications.
  • SQL Server on Linux: Debugging ELF and PE Images (dbgbridge). A very, very interesting post how Microsoft implemented the ability to debug from WinDbg, both SQL Server on Windows as well as on Linux!

Shameless Self Promotion

So this is my shameless self promotion part. I have three blog-posts about error handling on SQL Server. Personally I think they are well worth reading :). In chronological order:

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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