Radical Technologies
DATA WAREHOUSING | BI
โ˜…โ˜…โ˜…โ˜…โ˜…
(2,095 ratings)  50,000+ Student

INFORMATICA CLOUD DATA QUALITY

The Informatica Cloud Data Quality Syllabus focuses on ensuring accurate, consistent, and reliable data using Informaticaโ€™s cloud-based data quality tools. It covers data profiling, cleansing, validation rules, standardization, and monitoring across different data sources. This training explains how organizations maintain high-quality data for analytics, reporting, and business operations. It is important because poor data quality can lead to incorrect decisions and operational issues. It is ideal for data analysts, data engineers, ETL developers, and professionals working in data governance, integration, and cloud data management.

RT
Radical Technologies
50,000+ English 32 hours Weekdays / Weekends Classroom / Online / Corporate
Online / Classroom

INFORMATICA CLOUD DATA QUALITY

IT Training Programme

Duration 32 hours
Batch Type Weekdays / Weekends
Mode of Training Classroom / Online / Corporate
Locations Pune, Bangalore, Kochi
Language English
Certification Globally Recognized
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100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up
Get hands-on with the tools used by working professionals
Build real-world projects you can add to your portfolio
Learn industry best practices and coding standards
Practice with real datasets and real-world scenarios
Prepare for certification and technical interviews
Work on collaborative, team-based exercises
Apply performance tuning and optimization techniques
Understand how the technology fits into a larger ecosystem
Complete assignments reviewed by mentors

Programme Overview

15 sections covering the complete curriculum โ€” a single, progressive learning arc.

32 hours
Training Duration
15
Core Modules
88
Total Lessons
4.4โ˜…
Average Rating
50K+
Students Trained
01

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture โ€” the building blocks for everything that follows.

Fundamentals Architecture Setup
02

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs
03

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies
04

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices
05

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms
06

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today โ€” this programme is built to take you into a DATA WAREHOUSING | BI role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

15 sections  โ€ข  88 lessons  โ€ข  32 hours

01 โฑ Training Structure
โ€ข ๐Ÿ“˜ Concepts: 35%
โ€ข ๐Ÿงช Hands-on Labs: 45%
โ€ข ๐Ÿ’ผ Projects & Scenarios: 20%
02 Module 1: Data Quality Fundamentals (4 Hours)

๐Ÿ“˜ Topics:

โ€ข Data Quality concepts
โ€ข Data governance overview
โ€ข DQ dimensions:
o Accuracy
o Completeness
o Consistency
o Validity
โ€ข Introduction to Informatica Intelligent Cloud Services (IICS)

๐Ÿงช Assignment:

  • โ€ข Identify data quality issues in sample dataset

๐Ÿ’ผ Scenario:

  • ๐Ÿ‘‰ โ€œPoor data quality affecting business decisionsโ€
03 Module 2: IICS Platform & Cdq Overview (5 Hours)

๐Ÿ“˜ Topics:

โ€ข IICS architecture
โ€ข CDQ services overview
โ€ข Navigation & UI
โ€ข Secure Agent setup

๐Ÿงช Assignment:

  • โ€ข Setup IICS environment

๐Ÿ’ผ Scenario:

  • ๐Ÿ‘‰ โ€œSetup cloud data quality platform for organizationโ€
04 Module 3: Data Sources & Connections (5 Hours)

๐Ÿ“˜ Topics:

โ€ข Connect to:
o Databases
o Files (CSV, Excel)
o Cloud apps
โ€ข Data ingestion basics

๐Ÿงช Assignment:

  • โ€ข Create connections and import datasets

๐Ÿ’ผ Scenario:

  • ๐Ÿ‘‰ โ€œIntegrate multiple data sourcesโ€
05 Module 4: Data Profiling (6 Hours)

๐Ÿ“˜ Topics:

โ€ข Column profiling
โ€ข Data discovery
โ€ข Pattern & frequency analysis
โ€ข Anomaly detection

๐Ÿงช Assignment:

  • โ€ข Perform profiling on customer dataset

๐Ÿ’ผ Scenario:

  • ๐Ÿ‘‰ โ€œIdentify duplicate and inconsistent dataโ€
06 Module 5: Data Cleansing & Standardization (6 Hours)

๐Ÿ“˜ Topics:

โ€ข Data standardization
โ€ข Parsing & formatting
โ€ข Address validation
โ€ข Rule-based cleansing

๐Ÿงช Assignment:

  • โ€ข Clean customer data

๐Ÿ’ผ Scenario:

  • ๐Ÿ‘‰ โ€œStandardize customer names & addressesโ€
07 Module 6: Matching & Deduplication (5 Hours)

๐Ÿ“˜ Topics:

โ€ข Matching rules
โ€ข Fuzzy matching
โ€ข Duplicate detection
โ€ข Survivorship rules

๐Ÿงช Assignment:

  • โ€ข Remove duplicate records

๐Ÿ’ผ Scenario:

  • ๐Ÿ‘‰ โ€œMerge duplicate customer recordsโ€
08 Module 7: Data Quality Rules (5 Hours)

๐Ÿ“˜ Topics:

โ€ข Rule specification
โ€ข Business rules
โ€ข Validation logic
โ€ข Scorecards

๐Ÿงช Assignment:

  • โ€ข Create data validation rules

๐Ÿ’ผ Scenario:

  • ๐Ÿ‘‰ โ€œValidate email/phone formatsโ€
09 Module 8 Monitoring & Reporting (4 Hours)

๐Ÿ“˜ Topics:

โ€ข Data quality dashboards
โ€ข Scorecards
โ€ข Metrics tracking

๐Ÿงช Assignment:

  • โ€ข Generate DQ report

๐Ÿ’ผ Scenario:

  • ๐Ÿ‘‰ โ€œMonitor data quality KPIsโ€
10 Module 9: Integration With Data Pipelines (4 Hours)

๐Ÿ“˜ Topics:

โ€ข Integration with ETL pipelines
โ€ข Data Quality in ETL workWlows
โ€ข Automation basics

๐Ÿงช Assignment:

  • โ€ข Integrate DQ with ETL Wlow

๐Ÿ’ผ Scenario:

  • ๐Ÿ‘‰ โ€œEnsure data quality in pipelinesโ€
11 Module 10: Automation & AI Features (3 Hours)

๐Ÿ“˜ Topics:

โ€ข AI-based data profiling
โ€ข Rule recommendations
โ€ข Automation of DQ processes

๐Ÿงช Assignment:

  • โ€ข Use AI suggestions for rules

๐Ÿ’ผ Scenario:

  • ๐Ÿ‘‰ โ€œAutomate data validation processโ€
12 ๐Ÿงช MODULE 11: FINAL PROJECT (6โ€“8 Hours)

๐Ÿš€ PROJECT : CUSTOMER DATA QUALITY MANAGEMENT

๐ŸŽฏ Objective:

Build real-time enterprise DQ solution

๐Ÿ“Œ Tasks:

โ€ข Connect to multiple data sources
โ€ข Perform profiling
โ€ข Clean & standardize data
โ€ข Apply matching & deduplication
โ€ข Create DQ rules
โ€ข Generate reports
13 ๐Ÿงฉ Mini Projects
1โƒฃ Data Cleansing Project
โ€ข Clean messy dataset
2โƒฃ Deduplication Project
โ€ข Remove duplicate customer records
3โƒฃ Data Validation Project
โ€ข Apply business rules
14 ๐Ÿ’ผ Industry-oriented Scenarios
โœ” Duplicate customer records
โœ” Inconsistent address formats
โœ” Missing data issues
โœ” Data quality in ETL pipelines
โœ” Data governance compliance
15 ๐Ÿ“Š Final Skills You Gain
โœ” Data profiling & cleansing
โœ” Deduplication techniques
โœ” Rule-based validation
โœ” Data quality monitoring
โœ” Integration with ETL pipelines

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

88+
Hands-On Lessons
15
Core Modules
32 hours
Training Duration
100%
Practical Training

You don't just learn INFORMATICA CLOUD DATA QUALITY. You ship it.

Three major projects, each mirroring how production teams actually work โ€” from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

โ†’Requirement Analysis

โ†’Guided Implementation

โ†’Mentor Review

โ†’Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief
Step-by-step implementation
Mentor feedback and review
Documented outcome
Stack Core Concepts Best Practices
PROJECT // 02

Applied Practice Project

โ†’Scenario Design

โ†’Independent Build

โ†’Testing & Validation

โ†’Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job โ€” less hand-holding, more ownership.

End-to-end implementation
Testing and validation
Documentation
Peer/mentor review
Stack Applied Skills Testing
PROJECT // 03

Capstone Project

โ†’Planning

โ†’End-to-End Build

โ†’Review & Refinement

โ†’Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project โ€” plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution
Presentation-ready documentation
Mentor sign-off
Portfolio-ready deliverable
Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume โ€” reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training
  • Highly practical oriented training
  • Installation support on your system
  • 24/7 Email and Phone support
  • 100% Placement Assistance
  • Global Certification Preparation
  • Trainer-Student Interactive Portal
  • Assignments and Projects by Mentors
Enroll Now
Live Classroom Training
  • Weekend / Weekdays / Morning / Evening batches
  • 80:20 Practical and Theory ratio
  • Real-life Case Studies
  • Easy make-up for missed sessions
  • PSI | Kryterion | Redhat Test Centers
  • Lifetime Video Classroom Access (coming soon)
  • Resume Prep and Mock Interviews
Enroll Now
Self-Paced Training
  • Learn 300+ courses at your own time
  • 50,000+ Satisfied Learners
  • Course Completion Certificate
  • Practical Labs available
  • Mentor Support available
  • Doubt Clearing Session available
  • 10% Discounted Global Certification
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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards โ€” from cloud technologies to data science โ€” empowering individuals to stay ahead in the ever-evolving tech landscape.

Certificate of Completion

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.

Career Support

Course Completed? Need next steps?
Need Interview Supports?
Need Job Assistance?
Came from any other Institute?

Join our Brush-up Session & get support until you find a job!

Get Started

Radical Learning Eco-System

Exam Simulator

Cloud SandBox

Hands-on Cloud Lab

Developer Coding Ground

Student Reviews

4.4โ˜…
Average learner rating
50K+
Students trained
30+
Hiring companies alumni work at
100%
Placement assistance
4.4
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Course Rating

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62%
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21%
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10%
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4%
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3%

Our Alumni Work At

Accenture
Amazon
Avisys Services
Birlasoft
Capgemini
Catchpoint
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DataVision
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Google
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Info Gain
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KPIT
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Microsoft
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TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies
Accenture
Amazon
Avisys Services
Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
DataVision
GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies