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IBM Knowledge Catalog on IBM Cloud Pak for Data 4.8: Enterprise Catalog Management and Data Governance

  • Course Code 6XL934G
  • Duration 1 day

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Course Delivery

This course is available in the following formats:

  • Company Event

    Event at company

  • Virtual Learning

    Learning that is virtual

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Course Overview

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This course provides Solution Architects an introduction to the basics of IBM Knowledge Catalog for 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, and then managing the assets in the catalog through a governance framework.

Company Events

These events can be delivered exclusively for your company at our locations or yours, specifically for your delegates and your needs. The Company Events can be tailored or standard course deliveries.

Course Schedule

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Target Audience

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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, workflow, and catalog concepts in IBM Knowledge Catalog.

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Course Objectives

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After completing this course, you should 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
  • Use governed data assets in projects
  • Establish reporting to query metadata from IBM Knowledge Catalog

 

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Course Prerequisites

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

  • Explain the purpose of Cloud Pak for Data and the value it brings to the business
  • Describe the architecture of Cloud Pak for Data
  • Summarize the ModelOps process
  • 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

 

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