Use case tutorials

Take use case tutorials to experience one or more of the use cases that combine to demonstrate how you can implement a solution with the IBM watsonx platform. The tutorials follow the story of Golden Bank, a leading mortgage provider that needs to solve the challenges of data access, data quality, and data governance.

The use cases tutorials are categorized by type:

Data fabric tutorials

A data fabric is an architecture that provides a secure and consistent way to access data from disparate sources and a set of integrated tools so that your organization can efficiently collaborate to use your data to improve your business.

The data fabric is split into use cases that each represent a particular goal. On IBM watsonx.data intelligence, services provide features and tools. Each use case requires one or more service instances. Some services are included in multiple use cases.

The tutorials are grouped by use case. You can start with any use case. Each group of tutorials is based on a sample project that contains the resources that you need to complete the tutorials.

The tags for each tutorial describe the level of expertise (, , or ), the amount of coding required ( or ), and whether the tutorial is a continuation () of one or more other tutorials that you must complete first.

Data integration

Provide access to all your data, without moving it.

Scenario: Golden Bank needs a data pipeline that delivers concise, pre-processed, and up-to-date data on all mortgage applicants, so that lenders can make decisions.

Click a tutorial for this use case to get started:

  • Replicate data
    Replicate your data between source and target data store.
  • Transform batch data
    Extract, filter, join, and transform your data.
  • Observe data
    Observe the health of your data by creating alerts.

Data intelligence

Share, enrich, and govern data.

Scenario: Golden Bank needs to create a business vocabulary to describe and manage data assets, and then make those assets available in a self-service catalog.

Click a tutorial for this use case to get started:

  • Curate high quality data
    Create high quality data assets by enriching your data and running data quality analysis.
  • Protect your data
    Control access to data in a catalog.
  • Consume your data
    Evaluate, share, shape, and analyze data.

Learn more