This presentation gives a complete, step-by-step overview of Informatica Cloud Data Quality (CDQ) training by InventModel. Designed for beginners as well as professionals, it includes practical use cases, real-time projects, lab setup, and all key CDQ assets like Rule Specifications, Scorecards, Dictionaries, Cleansing, and more. This is a 10-page educational guide made for awareness and learning purposes. Whether you're switching careers or upskilling in cloud data quality, this content is a strong starting point. Created by: Team InventModel Guided by: Sujeet Patel (CEO & Founder, InventModel)

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INFORMATICA CLOUD
DATA QUALITY (CDQ) –
EDUCATIONAL
OVERVIEW
By: Mr.Sujeet Patel, CEO
& Founder – InventModel
For educational purpose only – Not a commercial document

2. What is Informatica CDQ?
Many people hear the term “Cloud Data Quality” and instantly think it’s some
complicated tech jargon. But the truth is — it’s actually quite logical when seen in
real-world use.
Informatica CDQ (Cloud Data Quality) is all about making sure your data is clean,
correct, consistent, and ready to be used — especially in large-scale cloud
platforms.
Think of it like this — organizations collect data from multiple sources, but if that
data is incomplete, duplicated, or wrongly formatted, then no matter how good your
tools are, the results will be messy.
That’s where Informatica CDQ comes in. It helps clean, profile, match, and verify
your data before it reaches any system like MDM, reporting tools, or analytics
dashboards.
This training explains the entire process — from identifying data issues to fixing and
transforming them — using real tools, real labs, and real use cases.
Whether you’re from an IT background or not, if you’re working with any kind of
cloud data — this training helps you understand the “why” and “how” behind good
data quality.
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3. Hands-on Practice from Day 1
Complete End-to-End Coverage
Real-Time Project Exposure
Key Benefits of CDQ Training
We didn’t design this course just to explain
theory — we built it to show how things
actually work when you're solving real
problems using Informatica Cloud Data
Quality.
Here’s what you actually get out of this
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No boring slideshows — you’ll get into the tool, set up labs, and start testing things yourself.
From profiling data to writing rules, cleansing it, matching duplicates, and verifying addresses — every piece is covered
with examples.
You’ll work on real use cases that match what companies deal with. We’re not just showing you tool buttons — we’re
solving problems.

4. No Tool Experience Needed
Job-Focused Learning
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We start from scratch. Even if you’ve never worked on Informatica or data tools before, you’ll still be able to follow
and implement everything.
This training isn’t just about learning — it’s about preparing you for real roles. That’s why we’ve included resume
help, interview prep, and even job support after the training.
In short — this CDQ training gives you the confidence, skills, and practical experience you’ll need to
handle cloud data projects in the real world.

5. In this training, we’re not just showing what
the tool can do — we’re actually teaching
how to use every important asset and
feature in real-time.
Data Profiling
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Rule Specifications
Scorecards
Dictionaries
Cleansing & Standardization
Deduplication
Labeler & Verifier Assets
Core Modules
Covered in CDQ
Here’s what we’ll cover step by step:
You’ll learn how to scan your data, spot the issues,
and understand patterns using profiling tools.
Create business rules to validate your data — like
checking if company names are filled properly or if
emails are in the right format.
Want to measure your data quality? Scorecards
help you see how clean or dirty your data is across
different rules.
These are used to standardize, enhance, and validate
data — like correcting state names, company labels,
or even keywords.
We’ll teach you how to remove junk, format values,
and turn raw messy data into clean, usable info.
You'll use matching logic to find duplicate records
— and consolidate them into one clean golden
record.
You’ll learn how to mask sensitive data and verify
addresses using prebuilt assets — something
companies use daily in production.

6. Hands-on Labs &
Assets Explained
We believe learning should never be theory-
only — and that’s why this entire training is
built around real hands-on labs. From the very
first week, you’ll be working directly in the
cloud using real assets, just like it happens in
actual projects.
Lab Access Setup
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Here’s what you’ll be doing inside the labs:
Work with Assets
Debug & Solve Issues
Practice Projects
In short, you won’t just “learn” CDQ. You’ll
build with it, test it, and break it — until you
understand exactly how everything fits
together.

7. Real-Time Project & Use Cases
(Short Version)
In the final phase of training, you’ll work on a real-time project — where you’ll clean,
validate, deduplicate, and verify actual data, just like in a real company setup.
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🏢Common Use Cases:
💡Example:
Customer data is coming from 3 different systems — names are misspelled, duplicates
exist, addresses are incomplete.
You’ll profile the issues, fix them using cleanse and rule specs, merge duplicates, and
use scorecards to check the final quality.
Merging duplicate customers in banking
Fixing address issues in e-commerce orders
Cleaning duplicate contacts in telecom databases
What you learn here is exactly what’s done in real projects — and that’s where the
actual job value comes in.

8. Who Should Learn CDQ? (Short Version)
This training is for anyone who wants to build
real skills in cloud data quality — no tool
experience needed.
Data Engineers – improve and manage better data
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Business Analysts – understand and fix raw data issues
QA/Testers – shift into data validation and profiling
Beginners – start from zero, we teach everything step by step
Even if you’re from a non-IT
background, this course helps you
step into the cloud data world — where
demand is high, and skilled people are
still rare.

9. Conclusion
Informatica Cloud Data Quality (CDQ) is more than just a
tool — it’s a skill that helps you solve real data problems
faced by companies every day.
And at InventModel, we don’t just teach tools — we focus
on making sure you actually understand how to use them
in real projects. From hands-on labs to real-world
scenarios, from resume building to job support —
everything is designed to make you job-ready.
Whether you’re starting fresh or switching careers, this
training gives you the confidence and experience to step
into the cloud data space with clarity and support.
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10. THANK YOU!
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Created by: Team InventModel
Mr.Sujeet Patel – CEO &
Founder, InventModel
If you ever want to explore real-time projects, tools, or use cases — feel free to connect.
📞Call: +91-9821931210
📧Email: support@inventmodel.com