Schulung - IBM 6XL534G - Enterprise catalog management and data protection with Watson Knowledge Catalog on IBM Cloud Pak for Data 4.0.x

Course Outline

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 

Objective

In this course, students will learn to:

• Prepare the governance environment
• Create a governance workflow and framework
• Describe data
• Discover the data
• Apply data quality rules
• Analyze the data