How to connect an external Django backend with IBM Watson (Notebook)?

Question

I'm doing a small project that I don't know how-to connect IBM Watson with Django backend and even looking for the docs: I can't find examples, documentation or tutorials.

Basically, I want to create Jobs (Notebooks running) remotely, but I need to send an ID to each notebook because when I run a notebook I need to specify which file are going to process from Cloud Storage ("MY-PROJECT-COS"). The situation shown in the Figure below describes that.

The pipeline that I want to implement is like the Figure below. And this problem just stopped the whole project. I will really appreciate any suggestion, recommendations and solutions.

Answer 1

You should check the Watson Data APIs. Especially, Create a job and Start a run for a job API calls. Use the request body to pass the specific ID.

You can use a collection of Watson Data REST APIs associated with Watson Studio and Watson Knowledge Catalog to manage data-related assets and connections in analytics projects and catalogs on IBM Cloud Pak for Data.

Catalog data Use the catalog and asset APIs to create catalogs to administer your assets, associate properties with those assets, and organize the users who use the assets. Assets can be notebooks or connections to files, database sources, or data assets from a connection.

Govern data Use the governance and workflows APIs to implement data policies and a business glossary that fits to your organization to control user access rights to assets and to uncover data quality and data lineage.

Add and find data Use the discovery, search, and connections APIs to add and find data within your projects and catalogs.

You can also access a local version of this API docs on each Cloud Pak for Data installation: https://{cpd_cluster_host}/data-api/api-explorer