Data Quality using IBM Cloud Pak for Data
This course will teach you how to leverage IBM Cloud Pak for Data and IBM Knowledge Catalog to manage and refine data efficiently. Learn how to create governance artifacts, curate and profile data assets, and implement data quality rules to ensure accuracy and compliance. Explore data quality scoring, metadata management, and automated data discovery to enhance trust in your data. Get hands-on experience with data refinery flows, virtual tables, and data requests to streamline analytics.
Audience:
This training is designed for Data Stewards, Data Quality Analysts, Data Engineers, Business Analysts, Governance Users, Metadata Administrators, and ETL Developers who manage data quality, curation, and governance.
Objectives: This is a 4-day instructor-led course, conducted over 5 hours per day.
Overview
- Data Quality
- IBM Cloud Pak for Data
- IBM Knowledge CatalogPredefined user roles and Permissions
Governance Artifacts
- Categories
- Policies
- Governance Rules
- Business Terms
- ClassificationsData Classe
Data Curation
- Data Curation
- Working with a Catalog
- Data Assets
- Profiling Data Assets
- Metadata Import
- Discovering Asset
Data Quality Management
- Data Quality Projects
- Virtual Tables / Columns
- Analyzing Data
- Data Quality Score
- Data Rule
Data Refinery
- Analytics Projects
- Refining Data
- Data Refinery Flow
- Working with Job
Additional Topics
- Global Search
- Data Requests