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IBM Knowledge Catalog on IBM Cloud Pak for Data 5.0: Enterprise Catalog Management and Data Governance
Course Description
Overview
This course provides Solution Architects an introduction to the basics of IBM Knowledge Catalog on IBM Cloud Pak for Data. You learn to access IBM Knowledge Catalog through the service, and gain skills in creating catalogs, populating them with assets, managing the assets in the catalog through a governance framework, and governing virtualized data.
Objectives
By the end of this course, you will be able to:
- Summarize the foundational concepts of IBM Knowledge Catalog
- Create a governance framework that protects data
- Describe data by adding classifications and business terms
- Curate the data by metadata enrichment and quality assessment
- Evaluate the contents of a data set
- Govern virtualized data
- Use governed data assets in projects
Audience
This course is designed for solution architects, but it is also relevant for other enterprise roles that want to understand and apply data governance, quality, and catalog concepts in IBM Knowledge Catalog.
Prerequisites
- Explain the purpose of Cloud Pak for Data and the value it brings to the business
- Describe the architecture of Cloud Pak for Data
- Differentiate between Cloud Pak for Data and Red Hat OpenShift Container Platform
- Define the AI Ladder and its associated roles and services
- Log in to Cloud Pak for Data and complete an analytics project
- Summarize the ModelOps process
Before you start this course, you should be able to complete the following tasks:
Topics
- Introduction to enterprise catalog management with IBM Cloud Pak for Data
- Prepare the IBM Knowledge Catalog environment
- Define and implement a governance framework
- Describe the data
- Curate the data
- Apply data quality rules
- Govern virtualized data
- Analyze the data
- Review and evaluation
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Self-Paced Training Info
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- 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.
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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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