IBM Knowledge Catalog on IBM Cloud Pak for Data 4.8: Advanced Data Governance 6XL942G
- CMDBID 1001828
- Course Code 6XL942G
- Duration 2 Days
IBM Course
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Overview
This course offers solution architects more experience with IBM Knowledge Catalog for IBM Cloud Pak for Data. You learn to tune and customize governance workflows and artifacts to enhance data protection, quality, and findability. You gain skills in enriching metadata, building data quality rules, customizing asset properties, and governing virtual data.
'. Explore more IBM training hereAudience
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) that want to understand and apply data governance, quality, workflow, and catalog concepts in IBM Knowledge Catalog.
Skills Gained
By the end of this course, you will be able to:
- Construct workflow configurations for governance artifacts
- Create custom roles, properties, relationships, and asset types to capture important details about data
- Build a complete and meaningful business glossary to establish a trusted governance foundation
- Apply metadata and regular expressions to remediate the quality of data
- Govern virtualized data
- Examine data asset relationships
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 by importing a business glossary
- Evaluate the contents of a data set
- Use governed data assets in projects
You can review these skills in the IBM Knowledge Catalog on IBM Cloud Pak for Data 4.8: Enterprise Catalog Management and Data Governance course.
Outline
- Introduction
- Manage users and collaboration
- Define data governance workflows
- Define the business vocabulary
- Curate and enrich data assets
- Manage data quality
- Govern virtualized data
- Analyze the data
- Review and evaluation
Certification
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