IBM Cloud Databases - Structured Ideas

Current jupyter notebooks are useful for small tasks, but for full data science projects a larger ecosphere of tools and code storage are necessary. Jupyter labs is really young, but even so would fill in many of the current issues of our environm...

Various machine learning backends benefit greatly by running with GPU support. We can already run Keras with a TensorFlow backend on DSx but it's CPU only which makes it unusably slow for many situations. It would be great to allow DSx to take a...

zeppelin notebooks have a number of nice features like built in graph capability, and it also lets you mix multiple interpreters into a single notebook. Yes you can do a lot of this with jupyter, but there will be those that have a large number ...

Nifi is a popular open source tool for building data pipelines. It would be great if nifi was available as a managed service as part of the WDP. The service should ideally have source and target connectors for the following IBM Cloud services (...

Why don't we make a feature similar to the RStudio's "deploy to shinyapps" ability. So basically you can deploy a shiny app from your RStudio with 1 click to the cloud. Shinyapps.io is not an IBM site, may be we could introduce similar thing based...

Most IDEs use a similar pattern for git support. I would like to see git functionlity similar to what I'm used to in my other IDEs. For example being able to commit/checkout multiple files, work on branches, etc. From the git window you can als...

Cannot connect my DB2 database configured with security mechanism = 13 in my project. It needs to have an option to add additional parameter to the connection

Couldn’t we follow the same pattern as Bluemix apps where services would be bound to the app (DSX project) and use the VCAP_SERVICES environment variable? vcap_services = os.getenv("VCAP_SERVICES") vcap = json.loads(vcap_services) ...

A simple way to import an other notebook functions in a notebook or a script with defined functions easily.