![]() This is what I’m using: just a database running in a VM. The not autonomous part is either named Database or Bare Metal, VM, and Exadata depending which page you look at. ![]() ![]() ![]() It works well for many things but still doesn’t support property graphs (work in progress…) and that’s why I use something else. The autonomous is split into Autonomous Data Warehouse and Autonomous Transaction Processing. To me it’s like there are 2 types mainly: autonomous and not autonomous. There are various different database products in the Oracle Cloud offer, and sometime they also use different names to link to the same thing (depending which page you are on). How can I connect from Python (my JupyterLab notebook) to an Oracle DBaaS database? Must be easy using cx_Oracle, the Python interface for Oracle database. For that I often use an Oracle database as source for my data, and it’s also a cloud service. Now that I have it, I obviously want to use it for some experiments with Machine Learning and graphs. I wrote about setting up a JupyterLab sandbox in an Oracle Cloud Compute Instance not long ago.
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