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.
- The June release of Azure Data Studio is now available. What the title says. You can now download the June release of Azure Data Studio, or, if you already have it installed, it should upgrade automatically. There are quite a few highlights in this release. The one that interests me the most is the improvements in SQL Notebooks
- Continuous integration of machine learning models with ease.ml/ci. The white paper Adrian dissects here is about what does a continuous integration testing environment look like for a machine learning model? The paper presents ease.ml/ci which is a continuous integration system for machine learning.
- Build more accurate forecasts with new capabilities in automated machine learning. This blog post discusses new capabilities in Azure Machine Learning service related to time-series forecasting. Very interesting!
- Data validation for machine learning. Machine learning is good and all, and you can achieve a lot with ML. However, unless the data passed into ML is correct, you only get garbage. The paper Adrian dissects in this post focuses on the problem of validation the input data fed to ML pipelines.
SQL Server 2019
- SQL Server 2019 Extensibility Framework & External Languages. A couple of weeks ago, I wrote a blog post about changes in SQL Server 2019 CTP 2.5 related to how you write Java code for use by SQL Server. Well, a bit later, Microsoft released SQL Server 2019 CTP 3.0 with more changes around this topic (Java code in SQL Server), and in this blog post, I discuss these changes.
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.