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Cloud Data Governance & Catalog:

Data Stewardship and Curation

onDemand | IDMC Data Governance | Self-Paced | August 2024 Release

Course Overview

Create business data assets such as policies, processes, glossaries, systems, and datasets, enhance and enrich assets with business context, and ensure that data is governed through a single cloud platform. Learn to search and analyze catalog information, including asset relationships, lineage, and profiling to help you in business analysis.
This course is applicable to software release version August 2024.

Objectives

After successfully completing this course, students should be able to:

  • Create governance assets
  • Link related systems and datasets
  • Create asset relationships
  • Curate glossary associations
  • Work with dashboards
  • Enrich and enhance assets with business context
  • Search for and view asset details
  • Generate data quality scores
  • Rate and certify assets
  • Collaborate with users

Target Audience

  • Business Analyst
  • Data Analyst
  • Data Scientist
  • Data Steward
  • End User

Prerequisites

  • None
Agenda
Module 1: Introduction to Cloud Data Governance and Catalog (CDGC)
  • Overview of IICS – overview, apps/services, terminologies
  • Overview of CDGC
  • How is CDGC connected to IICS?
  • Business case
  • Features
  • Terminologies
  • Technical Assets vs Business Assets
  • Getting Started with CDGC – tasks that will be performed in this course/planning
Module 2: Exploring Cloud Data Governance and Catalog (CDGC)
  • Homepage
  • Dashboard
  • Search toolbars
  • Browse options
  • Notifications
  • Lab: Exploring CDGC UI
Module 3: Search and Discover
  • Basic Search
  • Search Queries
  • Asset 360-degree view
  • Integration with Data Marketplace
  • Saved Searches
  • History of Assets
  • Lab: Basic and Advanced Search
Module 4: Stakeholdership and Notifications
  • Role-based access control
  • Stakeholder-based access control
  • Setting up notifications
  • Profile configuration
  • Lab: Configuring email notifications
Module 5: Profiling and Data Classification
  • Data Profiling
  • Value Frequency
  • Patterns
  • Data Types
  • Data Classifications
  • Data Observability
  • Curation
  • Generated Data Classifications
  • Lab: Reviewing Profiling Results
  • Lab: Reviewing Data Classifications
Module 6: Glossary Assets
  • Domains
  • Sub-domains
  • AI Model, Business Area, Legal entity, Geography and Regulation
  • Metrics
  • Business Terms
  • Glossary Associations
  • Lab: Creating Domain and Sub-Domains
  • Lab: Creating a Business Term
  • Lab: Creating Metrics
 
Module 7: Systems, Datasets, and Lineage
  • Systems
  • Datasets
  • Manual Data Element
  • Types of Relationships
  • Lineage
  • Lab: Creating Systems and Datasets from Technical Assets
  • Lab: Creating a Manual Data Element
Module 8: Policies
  • Policy definition
  • Examples
  • Creation
  • Lab: Creating Policies and Sub-policies
Module 9: Processes
  • Process definition
  • Examples
  • Creation
  • Lab: Creating Processes and Sub-Processes
Module 10: Data Quality
  • Data Quality Rules
  • Data Quality Rule Templates
  • Data Quality Rule Occurrences
  • Data Quality Scores
Module 11: Bulk Uploading of Assets
  • Uploading templates
  • Lab: Bulk Uploading Business Assets
  • Lab: Bulk Updating Business Assets
  • Lab: Deleting Business Assets using Bulk Upload
Module 12: Rating and Certification
  • Asset Rating
  • Asset Certification
  • Comments
  • Lab: Rating an Asset
Module 13: Workflows, Tasks, and Tickets
  • Workflows
  • Predefined workflows
  • Tickets
  • Tasks
  • Lab: Raising a Ticket to make changes to an Asset
Module 14: Working with Dashboards
  • Introduction
  • Default dashboard
  • Custom dashboard
  • Managing dashboards
  • Lab: Creating a Personalized Dashboard
  • Lab: Exploring the Dashboard
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