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.


Big Data

  • Big Data is just Data. In this blog post Buck discusses what happened to Big Data, did it die or what - as no one talks about it any more? The post gives one food for thoughts! Oh, and I am so excited to get to meet Buck at the SQL Saturday’s in Johannesburg and Cape Town the next two weekends!

Distributed Computing


SQL Saturday

It is early September, and that means that SQL Saturday is just around the corner. In fact, the Johannesburg leg of SQL Saturday is next weekend. I am fortunate enough to present in both Johannesburg and Cape Town.

Me together with a colleague - [Andrew Collier][acoll] - delivers a one day workshop: A Day of SQL Server 2019 Big Data Cluster, where we drill into - you guessed it - SQL Server 2019 Big Data Cluster. We do that Friday, September 6 in Johannesburg, and Friday, September 13 in Cape Town.

If you are interested to understand what SQL Server 2019 Big Data Cluster is all about, please register for Johannesburg here, or Cape Town here. It will be a blast - I promise!

In Johannesburg, I deliver on Saturday, (September 7), two talks:

In Cape Town, Saturday, September 14, I also deliver two talks:

  • Set Your SQL Server Data Free with the Use of Kafka. In this talk, we look at how we can stream data from SQL Server to the de facto standard for streaming: Apache Kafka. We look at tools like Kafka Connect and external languages, and after the session, we should have a good understanding of various ways we can “set the data free”.
  • SQL Server Machine Learning Services & External R/Python Packages. SQL Server Machine Learning Services supports both R and Python, and they come with all the regular packages installed. However, there are a lot more packages available “out in the wild”. In this session, you learn various ways you can install both R and Python packages in SQL Server instances.

~ Finally

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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