
Establish a holistic data governance framework that treats data as a valuable corporate asset while ensuring data quality, data security, and compliance across the organization.
Centralize and organize data assets, metadata, and artifacts with the data governance catalog, providing metadata management, business glossary, policy rules, relationship mapping, collaboration workflows, search and discovery, and audit capabilities.
Explore how category hierarchy, policy hierarchy, and governance rules organize data assets, terms, and policies to enable holistic data governance, discovery, and collaborative governance.
Explore the end-to-end business-ready platform in IBM Knowledge Catalog, enabling data quality, governance, and consumption with auto discovering data, auto classifying data, and auto detecting sensitive data, plus policy management.
Explore reference data in IBM Knowledge Catalog, including its definition, hierarchy, and relationships, and see how standardized reference data sets and crosswalks improve data governance, quality, and analytics.
Define data sources and business vocabulary to establish governance. Discover and import data assets for metadata enrichment, profile quality, assign terms, and publish to a governed catalog.
Download the lab data zip from the IBM data and AI live demos repo, unzip it, and inspect predefined governance CSV files to learn their fields.
Define and enforce data governance and protection rules in IBM Knowledge Catalog CP4D, including obfuscating email addresses, redacting phone numbers, and masking US social security numbers.
Publish the fully enriched data assets to the business governance catalog for analytics and AI projects, including cloud object storage and data warehouse connections, in a repeatable process.
*This course contains the use of artificial intelligence.*
This comprehensive course is designed to equip professionals with the knowledge and skills needed to master data governance using IBM Knowledge Catalog on Cloud Pak for Data (CP4D). Participants will explore the fundamentals of data governance, learn about the features and benefits of IBM Knowledge Catalog, and gain hands-on experience through practical demonstrations and use cases.
Course Objectives:
Understand the principles and importance of data governance.
Learn how to implement and manage data governance frameworks.
Explore the features and benefits of IBM Knowledge Catalog on CP4D.
Gain practical experience through real-world use cases and demonstrations.
Course Outline:
Chapter 1: Understanding Data Governance & Catalog
What is Data Governance?
Definition and importance.
Why is Data Governance Important?
Ensuring data quality and compliance.
Data Governance & Management Framework
Introduction to the framework for data governance.
What is the Data Governance Catalog?
Role in the broader data governance framework.
Why is the Data Governance Catalog Important?
Supporting data governance objectives.
How It Fits Into the Data Governance Framework
Integration into the overall framework.
Data Governance Catalog Components
Essential components overview.
Overview of Popular Data Governance Catalog Tools
Review of popular tools.
Considerations for Data Governance Catalog Tool Selection
Key factors for tool selection.
Chapter 2: Data Governance Mastery with IBM Knowledge Catalog on CP4D
Overview of IBM Knowledge Catalog on Cloud Pak for Data
Introduction and integration with CP4D.
Chapter 3: Demonstration of Customer Satisfaction Decline Analysis Use Case
Scenario:
Using IBM Knowledge Catalog and CP4D to ensure data quality, accessibility, and protection in analyzing customer satisfaction decline.