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Data fabric tutorials
Data fabric tutorials

Data fabric tutorials

Take data fabric tutorials to experience one or more of the use cases that combine to demonstrate how you can implement a data fabric solution with Cloud Pak for Data as a Service. The tutorials follow the story of Golden Bank, a leading mortgage provider, that needs to solve the challenges of data access, data quality, data governance, and managing data and AI lifecycles.

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 four use cases that each represent a particular goal. On Cloud Pak for Data as a Service, services provide features and tools. Each use case requires one or more service instances. Some services are included in multiple use cases.

Tutorials

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. You import the sample projects from the Gallery.

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.

AI governance

Build, operationalize, and govern AI.

Scenario: Golden Bank needs a model that identifies whether customers qualify for mortgages to reduce the bank's application processing costs.

Click a tutorial for this use case to get started:

Customer 360

Create a 360-view of customer data.

Scenario: Golden Bank needs a consolidated 360 view of applicants to identify the highest value customers to target and to determine the best rates to offer them.

Click a tutorial for this use case to get started:

Multicloud 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:

Data governance and privacy

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:

Learn more

Parent topic: Getting started