A little while ago a member of the Danish Oracle User Group DOUG asked if anyone had a bit of experience with use of R together with Oracle Database. I remembered an article I wrote for OTech Magazine on forecasting with R and Oracle and thought it would be a good primer for him. OTech Magazine is no longer active, sadly, but I thought I could send him a link anyway to my article. That was not to be :-(
Sometime formal programming documentation is less than clear. At least, it’s less than clear until you’ve written your first solution. The Modules section of the Python language is one of those that takes a few moments to digest.
It’s always interesting to explain a new programming language to students. Python does presents some challenges to that learning process. I think for loop can be a bit of a challenge until you understand them. Many students are most familiar with the traditional for loop like Java:
The instance that I’ve built for my students in a Fedora VM is quite stable except for one feature. The feature is the hibernation process of the base operating system. Sometimes when the base operating system hibernates, it causes the Oracle shared memory segment to fail. When that happens you get the following error:
In previous blog entry we have glimpsed into new SQL Developer 4.2 feature — parse trees. Again, this is something that development tools don’t readily expose with the most likely reason being the lack of foresight what users can do with this information. Blunt answer proposed here is: “query it”.
I thought this illustration was an interesting view of Oracle Database 12c’s Multitenant Architecture. It posted on ToadWorld.com today in a new article by Deiby Gomez and I thought it might be interesting for others.
The native JSON functionality in Oracle Database version 12.2 has evolved quite a bit since the JSON functions first appeared in Oracle Database version 22.214.171.124. Just one example is JSON_TABLE can be used as a bridge between the open standard GeoJSON format and the database internal SDO_GEOMETRY format, making it very simple to use externally available geocoding datasources within spatial applications in the database.