Cloud Pak for Data provides four use cases as parts of the data fabric solution. You implement the data fabric as represented in each use case by installing one or more services that provide features and tools. Some services are included in multiple use cases.
Use cases represent ways to implement part of the data fabric solution so that your teams can start working while you build out other parts. You can start with any use case and add the others as you need them:
- If you have a more mature governance model, start by building a governance foundation, as described in the data governance and privacy use case.
- If you want quicker time-to-value, start with data virtualization or data science, as described in the multicloud data integration and the MLOps and trustworthy AI use cases.
- If you are focused on a customer-centric transformation, start consolidating your customer data, as described in the customer 360 use case.
Explore each use case to learn about what you can accomplish and the tools you can use.
Multicloud data integration
Watch this video to see the data fabric use case for implementing a Multicloud data integration solution in Cloud Pak for Data.
Data governance and privacy use case
Watch this video to see the data fabric use case for implementing a Data governance and privacy solution in Cloud Pak for Data.
Customer 360 use case
Watch this video to see the data fabric use case for implementing a Customer 360 solution in Cloud Pak for Data.
MLOps and trustworthy AI use case
Watch this video to see the data fabric use case for implementing an MLOps and trustworthy AI solution in Cloud Pak for Data.
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