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Use case tutorials

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 Cloud Pak for Data. 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.

Note:

If you want to learn how to complete a specific task, such as refine data or build a model, then consider taking the quick start tutorials. The quick start tutorials help you quickly learn how to do a specific task or set of related tasks.

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 four use cases that each represent a particular goal. On IBM Cloud Pak for Data, 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. You import the sample projects from the Resource hub.

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:

Data governance

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:

Master Data Management

Provide a single, trusted 360-degree view of your data.

Scenario: Golden Bank wants to run a campaign to offer lower mortgage rates. As a data engineer, you must use IBM Match 360 to set up, map, and model your data for a 360-degree view of the customer.

Click a tutorial for this use case to get started:

Build and govern AI tutorials

These Cloud Pak for Data use cases cover the tools to build and govern AI. 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 Resource hub.

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:

Data Science and MLOps

Build, deploy, and monitor models.

Scenario: Golden Bank needs to automate a data pipeline that delivers up-to-date data on all mortgage applicants, that lends can use for decision making.

Click a tutorial for this use case to get started:

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Parent topic: Getting started

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