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IBM Knowledge Catalog on IBM Cloud Pak for Data 5.0: Enterprise Catalog Management and Data Governance

  • Course Code 6XLA34G
  • Duration 1 day

Course Delivery

Virtual Learning Price

$895.00

excl. VAT

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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 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.

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, and catalog concepts in IBM Knowledge Catalog.

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Course Objectives

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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
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Course Content

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  • 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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Course Prerequisites

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Before you start 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
  • 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
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