The Informatica IDMC – Cloud Data Quality (CDQ) Concepts course is designed for beginners, intermediate professionals, data engineers, data stewards, ETL developers, and architects who want to strengthen their expertise in data quality management within the Informatica Intelligent Data Management Cloud (IDMC) ecosystem.
This course provides a comprehensive and hands-on understanding of Informatica’s Cloud Data Quality (CDQ) and Cloud Data Profiling (CDP) applications — powerful, cloud-native solutions that enable organizations to assess, monitor, standardize, cleanse, and govern data quality across enterprise systems. You will learn how Cloud Data Quality integrates seamlessly with other IDMC services such as Cloud Data Integration (CDI), Customer 360, and Cloud Data Profiling, helping organizations establish accurate, consistent, and trusted data across the enterprise.
By the end of this course, you will be able to ;earn following topics:
Section 1: Introduction to Cloud Data Quality
- Understand the prerequisites for working with Cloud Data Quality
- Learn core terminologies related to Data Profiling and Data Quality
Section 2: Administrative Activities for Data Profiling and Data Quality
- Verify licenses and enabled features required for CDP and CDQ
- Enable Data Quality Services within the Secure Agent Group
- Configure required user groups and roles for Data Profiling and Data Quality access
- Create and configure a Snowflake connection for profiling and quality tasks
Section 3: Data Profiling Overview
- Understand the concept and purpose of Data Profiling
- Explore real-world business use cases for Data Profiling
- Learn how to access and navigate the Informatica IDMC platform
Section 4: Cloud Data Profiling (CDP) – Application Overview
- Overview of the Cloud Data Profiling service
- Understand the Data Profiling Task template and its components
- Configure a Data Profiling Task using a Snowflake connection
- Analyze and interpret profiling results
- Create a Customer Data Profile using a Flat File connection
- Analyze Customer Data Profile results and prepare Data Quality rules
- Design effective Data Quality rules based on profiling insights
Section 5: Cloud Data Profiling – Advanced Features
- Share profiling results with stakeholders
- Understand scheduling options for automated profiling jobs
- Run profiling tasks with filter conditions for targeted analysis
Section 6: Cloud Data Quality (CDQ) – Application Overview
- Overview of the Cloud Data Quality application
- Understand fundamental CDQ concepts
- Install and configure out-of-the-box Data Quality assets
