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Overview

This course provides Solution Architects an introduction to the basics of Watson Knowledge Catalog for IBM Cloud Pak for Data. You will learn to access the Watson 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.
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What You'll Learn

In this course, students will learn to:

  • Prepare the governance environment
  • Create a governance workflow and framework
  • Describe data
  • Discover the data
  • Apply data quality rules
  • Analyze the data 

Who Should Attend

Enterprise catalog management and data protection with Watson Knowledge Catalog is the third course in the learning path that IBM designed for professional Solution Architects of Cloud Pak for Data, and is intended to give you an overview of the Watson Knowledge Catalog service on the Cloud Pak for Data platform.
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Prerequisites

Before taking this course, students should be able to:

  • Explain the purpose of Cloud Pak for Data and the value it brings to the business
  • Describe its basic architecture 
  • 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

Learning Journey

Coming Soon...

Introduction

  • Recall prerequisite knowledge and skills
  • Outline the course flow
  • Define the lab environment
  • Outline the narrative

Preparing the governance environment

  • Summarize the purpose of Watson Knowledge Catalog
  • State the benefits of using catalogs
  • Describe how to control access to data
  • List the characteristics of the Default Catalog
  • Create user accounts and define roles
  • Load data into an integrated database

Creating a governance workflow and framework

  • Summarize enterprise governance
  • Describe a governance workflow
  • Establish a governance workflow
  • Select a data class matching method
  • Create governance artifacts

Describing data

  • Differentiate among data descriptors
  • Create a business term
  • Import and debug a glossary of terms
  • Publish business terms
  • Add a classification

Discovering the data

  • Explain the purpose of data curation
  • List the data curation process steps
  • Differentiate between the automated data discovery methods
  • Evaluate the results of a Quick Scan and Automated Discovery
  • Publish discovery results to a data quality project
  • Determine relationships between data and governance artifacts

Applying data quality rules

  • List the types of data quality rules
  • Define and run a quality rule
  • Build an automation rule
  • Publish a refined data set to the catalog

Analyzing the data

  • Summarize the data governance journey
  • Create an analytics project
  • Add data to the project
  • Refine the data
  • Review the data history

Review and evaluation

  • Summarize governance artifacts
  • Summarize data governance
  • Complete the final quiz
  • Discover what's next in the learning path 

Frequently Asked Questions (FAQs)

  • Why get IBM certified?

    IBM certifications validate your skills and expertise in a wide range of technologies, including hybrid cloud, data & AI, security, IT infrastructure, and business applications.

    These certifications are globally recognized and can help you advance your career, increase your earning potential, and demonstrate your commitment to professional development.

    IBM-certified professionals are in high demand, making them valuable assets to any organization seeking to leverage IBM's innovative solutions.

  • What to expect for the examination?

    IBM offers a variety of certification exams at different levels (Basic, Intermediate, and Advanced) covering various technologies and job roles.

    Exams typically consist of multiple-choice questions and may include scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by IBM from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is IBM certification valid for?

    The validity period of IBM certifications varies. Some certifications, particularly those focused on specific product versions or technologies, may have expiration dates.

    However, many IBM certifications, especially those focused on broader skills or newer technologies, do not have an expiration date.

    Note: Certification requirements and policies may be updated by IBM from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 16 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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