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  • Fundamentals of Data Governance
  • Importance and Functionality of Data Governance Catalogs
  • IBM Knowledge Catalog on Cloud Pak for Data (CP4D)
  • Practical Application and Case Study: Applying data governance principles to real-world scenarios
  • Using IBM Knowledge Catalog to ensure data quality, accessibility, and protection

This comprehensive course is designed to equip professionals with the knowledge and skills needed to master data governance using IBM Knowledge Catalog on Cloud Pak for Data (CP4D). Participants will explore the fundamentals of data governance, learn about the features and benefits of IBM Knowledge Catalog, and gain hands-on experience through practical demonstrations and use cases.

Course Objectives:

  • Understand the principles and importance of data governance.

  • Learn how to implement and manage data governance frameworks.

  • Explore the features and benefits of IBM Knowledge Catalog on CP4D.

  • Gain practical experience through real-world use cases and demonstrations.

Course Outline:

Chapter 1: Understanding Data Governance & Catalog

  1. What is Data Governance?

    • Definition and importance.

  2. Why is Data Governance Important?

    • Ensuring data quality and compliance.

  3. Data Governance & Management Framework

    • Introduction to the framework for data governance.

  4. What is the Data Governance Catalog?

    • Role in the broader data governance framework.

  5. Why is the Data Governance Catalog Important?

    • Supporting data governance objectives.

  6. How It Fits Into the Data Governance Framework

    • Integration into the overall framework.

  7. Data Governance Catalog Components

    • Essential components overview.

  8. Overview of Popular Data Governance Catalog Tools

    • Review of popular tools.

  9. Considerations for Data Governance Catalog Tool Selection

    • Key factors for tool selection.

Chapter 2: Data Governance Mastery with IBM Knowledge Catalog on CP4D

  1. Overview of IBM Knowledge Catalog on Cloud Pak for Data

    • Introduction and integration with CP4D.

Chapter 3: Demonstration of Customer Satisfaction Decline Analysis Use Case

  • Scenario:

    • Using IBM Knowledge Catalog and CP4D to ensure data quality, accessibility, and protection in analyzing customer satisfaction decline.

  • Basic knowledge of data governance principles
  • Experience working with data in any capacity (e.g., data analyst, data engineer, data steward, etc.) is beneficial but not mandatory
  • Experience with IBM products or similar data management, data governance tools is helpful but not required
  • Access to IBM Cloud Pak for Data (CP4D) environment for hands-on practice and exercises
  • Data Stewards
  • Data Governance Professionals
  • Data Engineers
  • Data Analysts
  • IT and Data Managers
  • Compliance and Risk Officers
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  • Section 1 : Introduction 1 Lectures 00:00:00

    • Lecture 1 :
    • Introduction - Data Governance Mastery with IBM Knowledge Catalog Preview
  • Section 2 : Chapter 1 - Understanding of Data Governance & Catalog 9 Lectures 00:00:00

    • Lecture 1 :
    • Data Governance – Key components
    • Lecture 2 :
    • Data Governance - Definitions
    • Lecture 3 :
    • Why is the Data Governance important
    • Lecture 4 :
    • Data Governance is essential
    • Lecture 5 :
    • Data governance & management framework
    • Lecture 6 :
    • Data governance Catalog
    • Lecture 7 :
    • Why is the Data Governance Catalog important
    • Lecture 8 :
    • How It Fits Into the Data Governance Framework
    • Lecture 9 :
    • Popular Data Governance Catalog Tools & IBM Knowledge Catalog Introduction
  • Section 3 : Chapter 2 - Data Governance Mastery with IBM Knowledge Catalog on CP4D 1 Lectures 00:00:00

    • Lecture 1 :
    • IBM Knowledge Catalog Overview
  • Section 4 : Chapter 3:Demo Customer Satisfaction Decline Analysis with IBM Knowledge Catalog 1 Lectures 00:00:00

    • Lecture 1 :
    • Use Case Customer Satisfaction Decline Analysis and Using IBM Knowledge Catalog
  • Section 5 : Bonus 1 Lectures

    • Lecture 1 :
    • Special Gift for You
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I am an experienced and accomplished author with a deep passion for data strategy and management. With over 15 years of hands-on experience in the IT industry, I have gained extensive knowledge and expertise in various domains, including banking, insurance, retail, and more. Throughout my career, I have held several senior positions such as: - Data Division Director of an insurance company - Deputy Data Governance & Analytics of the Group (Real Estate, Retail, Hospitality, Commerce, ...) - Deputy Chief Data Officer cum Senior IT Strategy Expert - Head of Data & Analytics Service - Project Director/ Project Manager - Enterprise & Solution Architect of bank That have allowed me to make significant contributions to the field. And right now, as a director of Data Division, I played a pivotal role in shaping data initiatives and driving the effective use of data within organizations. Additionally, as a Data Governance & Analytics expert, I focused on establishing robust data governance frameworks and harnessing the power of analytics to drive actionable insights. With my diverse background and extensive industry experience, I have developed a strong understanding of the challenges and opportunities in the data management landscape. Through my work as an author, I am dedicated to sharing my knowledge, insights, and practical strategies with students like you.
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