Interesting Stuff - Week 13
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.
- Stream Processing & Analytics with Flink @Uber. A presentation about how Uber builds its next generation of stream processing system to support real-time analytics as well as complex event processing.
- Scaling up Near Real-time Analytics @Uber &LinkedIn. Another presentation involving Uber. This time in combination with LinkedIn, and how they use Apache Samza, Apache Calcite and Pinot.
- Real-time Recommendations using Spark Streaming. Presentation about how Netflix uses Kafka, Spark Streaming, and Cassandra for real-time recommendations.
- Spotify’s Event Delivery – The Road to the Cloud (Part I). First post in a series about what Spotify is handling event delivery. Really interesting!
- Context in perspective 6: Taking Sessions to Task. The sixth post by Ewald about context in SQL Server. As usual it is a treasure trove of SQL Server internals information!
- SQLskills SQL101: Partitioning. Kimberly continues SQLskills SQL101 series with a post about partitioning.
- SQL Server On Linux: Core-minidumps and Breakpad. An awesome post by Bob Dorr about debugging SQL Server on Linux and core dumps.
- Microsoft SQL Server R Services - Internals II. Earlier today I finished the third post in my series about Microsoft SQL Server R Services. This post being the second about the internals. The post drills down into the launchpad service.
- UK government using R to modernize reporting of official statistics. A post from Revolution Analytics how the UK government uses R.
- Learning Scrabble strategy from robots, using R. Another post from Revolution Analytics, this time about how R has been used to analyze Scrabble games.
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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