Reviews 4.9 (4.6k+)
Rated 4.7 out of 5
Learners : 1080
Duration : 25 Days
One of the top providers of online IT training worldwide is VISWA Online Trainings. To assist beginners and working professionals in achieving their career objectives and taking advantage of our best services, We provide a wide range of courses and online training.
Duration : 25 Days
🌐 Informatica Data Quality (IDQ) Online Training – Course Overview
The Informatica Data Quality (IDQ) Online Training program is designed to help learners master data profiling, cleansing, validation, and enrichment techniques using Informatica’s Data Quality tools. This course equips you with the skills to maintain accurate, consistent, and reliable data across enterprise systems — a critical requirement in modern data-driven organizations.
Participants will gain hands-on experience in building data quality rules, managing scorecards, creating mappings, and implementing data governance frameworks. You’ll learn how to identify data anomalies, automate cleansing processes, and integrate IDQ with Informatica PowerCenter and other platforms.
This course is ideal for Data Quality Analysts, Data Engineers, ETL Developers, and BI Professionals aiming to enhance their expertise in data management and governance.
💡 Key Skills You’ll Learn
🎓 Certification Tracks
Associate and Consolidate data
AM IST
AM IST
PM IST
PM IST
PREFERRED
FOR BUSINESS
Informatica Data Quality is a suite of tools used to profile, cleanse, and standardize data to ensure consistency, accuracy, and compliance across enterprise systems.
PowerCenter focuses on data integration and ETL, while Informatica Data Quality focuses on data quality — profiling, cleansing, and governance.
Data quality dimensions include accuracy, completeness, consistency, timeliness, uniqueness, and validity.
Informatica Data Quality integrates with MDM to cleanse and validate master data before it is consolidated and published across systems.
Scorecards in Informatica Data Quality visually represent data quality metrics, allowing organizations to monitor and improve data standards over time.
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