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.
- Reactive & Asynchronous - Adventures with APIs in Financial Trading. Michael Barker from LMAX and the father of Disruptor gives a presentation about low-latency APIs used for financial trading and how they compare to APIs based on HTTP, REST,JSON etc.
- From Streams to Tables and Back Again: An Update on Apache Flink’s Table & SQL API. In previous weekly roundups (here and here) I have mentioned Flink and it’s new APIs. This is a blog-post discussing the Table API more.
- Microsoft Updates its Deep Learning Toolkit. A post announcing the update of its “Microsoft Cognetive Toolkit”. It looks very, very interesting, and when I get some spare time (hah) I’ll take it for a spin.
- Publish R functions as stored procedures with the sqlrutils package. Revolution Analytics blogs about the sqlrutils package and functions in the package helping you make stord procedures out of your R functions. Very cool!
- Latest Rev of Utilities for Microsoft Team Data Science Process (TDSP) Now Available. Another update from Microsoft. This time it is the Team Data Science Process Utilities.
- Deep Learning at Scale. Presentation about the Deep Scalable Sparse Tensor Network (DSSTNE). This kind of blew my mind.
- Building Robust Machine Learning Systems. Another presentation giving food for thought; how to make sure our machine learning systems are robust, well audited and can be inspected.
- Microsoft R Open 3.3.3 now available. Revolution Analytics reports of the release of Microsoft R Open 3.3.3.
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.