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Informatica Cloud Data Quality (CDQ) Training – Real Projects, Certification

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This PDF is a complete guide to Informatica Cloud Data Quality (CDQ) Training u2014 built on real-time scenarios, certification support, and full lab access. If youu2019re looking for Informatica cloud data quality training online free or training PDF with real project flow, this document gives you the exact roadmap used in actual client work.<br><br>It includes data profiling, cleansing, deduplication, rule specification, and Secure Agent setup u2014 with full coverage of Cloud Data Integration Developer R41 Professional certification dumps, IDQ training, and Informatica Cloud Data Quality Certification.

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Informatica Cloud Data Quality (CDQ) Training – Real Projects, Certification

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  1. INFORMATICA WWW.INVENTMODEL.COM CLOUD DATA QUALITY (CDQ) OVERVIEW www.inventmodel.com

  2. INFORMATICA CLOUD DATA QUALITY (CDQ) OVERVIEW WWW.INVENTMODEL.COM Informatica launched its Cloud Data Quality service in 2019. Since then, many powerful updates and features have been added. CDQ is a core part of IDMC (Informatica Intelligent Data Management Cloud). It helps you profile, cleanse, validate, deduplicate, and standardize data — all inside a cloud-based setup. WHY CDQ MATTERS CDQ is not a one-time job. It’s a continuous, repeatable process. We break it down into 4 major steps: 1.Discover – Profile and assess your source data 2.Define – Set rules and quality standards 3.Apply – Clean, validate, deduplicate, transform the data 4.Monitor – Track improvements and data health over time www.inventmodel.com

  3. DISCOVER PHASE – DATA PROFILING In this phase, we understand what’s really inside your data. WWW.INVENTMODEL.COM ✔ Profiling helps uncover patterns and issues ✔ You can detect nulls, duplicates, outliers ✔ Claire AI suggests prebuilt rules automatically ✔ What-if analysis helps evaluate transformation impact DEFINE PHASE – RULES & DICTIONARIES Here we create custom data quality rules based on your business needs. ✔ Build dictionaries (e.g. for country name standardization) ✔ Use Rule Specifications to validate fields like company names ✔ Leverage Claire engine for AI-based rule suggestions www.inventmodel.com

  4. APPLY PHASE – CLEANSING, PARSING & DEDUPLICATION Now we implement actual logic to clean and standardize data. WWW.INVENTMODEL.COM ✔ Cleanse assets help clean, transform and enrich data ✔ Parse assets split complex fields like address or phone ✔ Deduplicate assets match and merge duplicate records ✔ Labeler assets can mask PII or sensitive values MONITOR PHASE – TRACKING DATA QUALITY OVER TIME Once applied, the data quality needs continuous monitoring. ✔ Run scheduled profiling for ongoing checks ✔ Scorecards visualize improvements over time ✔ Dashboards show data quality metrics in IDMC ✔ Use REST API to connect with BI tools like Power BI www.inventmodel.com

  5. REAL EXAMPLE – COUNTRY CODE CLEANUP Let’s say you have inconsistent entries like: WWW.INVENTMODEL.COM "AUS", "aus", "AU", "Australia" With CDQ, you can standardize all of them into the correct ISO 3 format: "AUS" This same logic applies to product names, cities, and other data fields. CDQ ARCHITECTURE OVERVIEW CDQ runs on Secure Agent, Elastic and Serverless runtimes. ✔ Web-based IDMC portal for user access ✔ Works with both on-premise and cloud data ✔ CDQ integrates directly with CDI and MDM services www.inventmodel.com

  6. CERTIFICATION & PROJECT SUPPORT ✔ One guaranteed certification: Informatica CDQ ✔ Full guidance for Cloud Data Integration Developer R41 exam ✔ Includes dumps and real-time exam prep ✔ 200+ live project scenarios covered ✔ Resume prep, interview mock, and job support included WWW.INVENTMODEL.COM CONTACT DETAILS Trainer: Sujeet Patel (14+ years IT experience, 6 years onsite in Singapore ? CALL: +91-9821931210 ? EMAIL: SUPPORT@INVENTMODEL.COM ? WEBSITE: HTTPS://INVENTMODEL.COM/COURSE/INFORMATICA-CLOUD- DATA-QUALITY-CDQ-TRAINING www.inventmodel.com

  7. WWW.INVENTMODEL.COM

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