This course provides Solution Architects an introduction to the basics of Watson Knowledge Catalog for IBM Cloud Pak for Data. You will learn to access the Watson Knowledge Catalog through the service, and gain skills in creating catalogs, populating them with assets, and then managing the assets in the catalog through a governance framework.
Content
Introduction
- Recall prerequisite knowledge and skills
- Outline the course flow
- Define the lab environment
- Outline the narrative
Preparing the governance environment
- Summarize the purpose of Watson Knowledge Catalog
- State the benefits of using catalogs
- Describe how to control access to data
- List the characteristics of the Default Catalog
- Create user accounts and define roles
- Load data into an integrated database
Creating a governance workflow and framework
- Summarize enterprise governance
- Describe a governance workflow
- Establish a governance workflow
- Select a data class matching method
- Create governance artifacts
Describing data
- Differentiate among data descriptors
- Create a business term
- Import and debug a glossary of terms
- Publish business terms
- Add a classification
Discovering the data
- Explain the purpose of data curation
- List the data curation process steps
- Differentiate between the automated data discovery methods
- Evaluate the results of a Quick Scan and Automated Discovery
- Publish discovery results to a data quality project
- Determine relationships between data and governance artifacts
Applying data quality rules
- List the types of data quality rules
- Define and run a quality rule
- Build an automation rule
- Publish a refined data set to the catalog
Analyzing the data
- Summarize the data governance journey
- Create an analytics project
- Add data to the project
- Refine the data
- Review the data history
Review and evaluation
- Summarize governance artifacts
- Summarize data governance
- Complete the final quiz
- Discover what's next in the learning path