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IBM Knowledge Catalog on IBM Cloud Pak for Data 4.8: Advanced Data Governance
Course Description
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.
Objectives
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
- Augment cataloged data to enhance trust and use
- Govern virtualized data
- Examine data asset relationships
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) that want to understand and apply data governance, quality, workflow, and catalog concepts in IBM Knowledge Catalog.
Prerequisites
- 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
Before you start this course, you should be able to complete the following tasks:
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.
Topics
- Introduction
- Manage users and collaboration
- Define data governance workflows
- Define the business vocabulary
- Curate and enrich data assets
- Manage data quality
- Augment cataloged data
- Govern virtualized data
- Analyze the data
- Review and evaluation
Recognition
When you complete the Instructor-Led version of this course, you will be eligible to earn a Training Badge that can be displayed on your website, business cards, and social media channels to demonstrate your mastery of the skills you learned here.
Learn more about our IBM Cloud Badge Program →Related Courses
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This course is eligible for the IBM Knowledge Catalog on IBM Cloud Pak for Data 4.8: Advanced Data Governance - Code: 6XL942G
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Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Self-Paced Training Terms & Conditions
THIS IS A SELF-PACED VIRTUAL CLASS. AFTER YOU REGISTER, YOU HAVE 365 DAYS TO ACCESS THE COURSE.
This is a Self-Paced virtual class; it is intended for students who do not need the support of a classroom instructor. If you feel you would better benefit from having access to a Subject Matter Expert, please enroll in the Instructor-Led version instead. Minimal technical support is provided to address issues with accessing the platform or problems within the lab environment.
Before you enroll, review the system requirements to ensure that your system meets the minimum requirements for this course. AFTER YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.
After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material and remote labs. A confirmation email will contain your online link, your ID and password, and additional instructions for starting the course.
Upon receipt of the Order Confirmation Letter which includes your Enrollment Key (Access code); the course begins its twelve (12) month access period. IMPORTANT!!! If your course provides access to a hands-on lab (Virtual Lab Environment), you will have a specific number of days (typically 30 days) on the remote lab platform to complete your hands-on labs. Do not start your lab until you are ready to use your lab time effectively. Time allotted in the virtual lab environment will be indicated once you apply the enrollment key. The self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day.
If the course requires a remote lab system, the lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system. Note: This does not add additional days to your Lab Environment time frame.
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