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.
- Building a Data Warehouse: Basic Architectural principles. The post linked to here looks at an approach towards simplifying data warehousing. The post comes in “handy” as we are looking at this in Derivco at the moment.
- Coyote: Making it easier for developers to build reliable asynchronous software. This post is about Coyote, which is a programming framework for building reliable asynchronous software. It ensures the design and code remain in sync, which simplifies the addition of new features. Looks very interesting - I’ll talk to some of my developers and see what they say.
- ksqlDB: The Missing Link Between Real-Time Data and Big Data Streaming. When processing data, the question is, what is more efficient: event streaming or batch processing. The question comes from two ideas around data analytics architecture: state orientation and event orientation The post I link to here looks at both concepts and, as this is from Confluent, it highlights the event streaming capabilities in ksqlDB.
WIND (What Is Niels Doing)
In last weeks roundup I mentioned how South Africa had declared a national disaster and more or less put the country in lock-down. This due to the Coronavirus. Well, the “more or less” lock-down became a true lock-down last Friday (March 27), and we are no longer allowed to leave our homes, except in case of emergencies, and to purchase groceries!
We’ll see how long the lock-down lasts. Initially, it is said to be for 3 weeks, but most people expect it to be longer. From a work perspective, I am lucky to be working for Derivco, as the company has made a tremendous effort in enabling all employees to work from home!
The blog-post I have been working on based on my conference talk A Lap Around SQL Server 2019 Big Data Cluster is still not done. I have a bad case of “writers’ block” at the moment. Hopefully, I will get over it sooner rather than later, but do not expect this post anytime soon. Sorry about that!
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. Most importantly stay safe out there!
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