Overview

This course offers solution architects, data stewards, and data quality analysts more experience with IBM Knowledge Catalog for IBM Cloud Pak for Data. You learn to tune and customize governance workflows and artifacts to enhance the quality, findability, and protection of data. You gain skills in enriching metadata, building data quality rules, customizing asset properties, and configuring reports and dashboards.

Audience

This course is designed for solution architects, but it is also relevant for other enterprise roles (data steward, data engineer, data quality analyst, chief compliance officer) who want to understand and apply data governance, quality, workflow, and catalog concepts in IBM Knowledge Catalog.

Prerequisites

Before you start this course, you should be able to complete the following tasks:

• Summarize the foundational concepts of IBM Knowledge Catalog
• Define a governance workflow
• Create a governance framework that protects data
• Describe data through a business glossary
• Evaluate the contents of a data asset
• Use governed data assets in projects

Objective

By the end of this course, you will be able to:

• Connect to external and internal data sources
• Construct workflow configurations for governance artifacts and data quality remediation
• Build a complete and meaningful business glossary to establish a trusted governance foundation
• Assess data quality and compliance with data quality SLA rules
• Augment cataloged data to enhance trust and use
• Configure reports and dashboards on governance artifacts and data quality
• Examine data asset relationships

Course Outline

• Introduction
• Access data sources
• Create data governance workflows
• Define the business vocabulary
• Curate and enrich data assets
• Manage data quality
• Augment cataloged data
• Initiate reporting
• Prepare for data analysis
• Review and evaluation