This infographic explains the step-by-step process of mastering Informatica Cloud Data Quality (CDQ) using real project logic. From data profiling to rule specifications, dictionaries, verifier, and full CDI pipeline integration — this visual guide is built for those preparing for the Cloud Data Integration Developer R41 Certification or working with MDM Cloud SaaS and IDMC. Whether you're from a non-IT background or switching careers into cloud data roles, this breakdown simplifies CDQ into an execution-ready process. Trainer: Sujeet Patel – Informatica Certified, 14+ Years Experience (6 Years Onsite – Singapore) Course: https://inventmodel.com/course/informatica-cloud-data-quality-cdq-training

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Set Spending Limits
Set Spending Limits
Apply Verifier
Integrate in CDI
Cloud Data Quality
Process
Breakdown
Profile Data
Build Rule Specs
Run profiling tasks to
identify nulls, patterns,
duplicates, and data issues
across key columns.
Define business validation
logic using Rule
Specifications to catch
invalid or missing data.
Set Spending Limits
Design Dictionaries
Standardize messy values
like “US”, “U.S.A.”, and
“United States” using
reusable dictionaries.
Use the Address Verifier
asset to clean and geocode
global address formats
accurately.
Embed CDQ assets inside
real Cloud Data Integration
pipelines to automate
cleansing at scale.