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With the increased digitization of the economy, a humongous amount of semi-structured and unstructured data is emanating from various sources. Due to this unmatched format of data, the need for data integration to process the data becomes a necessity. Informatica is widely known for its data integration abilities across the globe.
Informatica PowerCenter allows migrating, integrating, and governing the enterprise-wide data, and hence it has attracted many aspirants to build careers in this lucrative domain. Merely getting the training does not lead people to success; a certification has become the need of the hour. Before taking up this test, an applicant must make sure that he/she has the skills in Informatica architecture, service maintenance, security, deployment, license keys, repository management, web services, command-line interfaces, metadata reporting, and administrator tool. You can use BraindumpStudy exam dumps to increase retention and improve preparation.
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The benefit of obtaining the Data Quality 10 Developer, Professional Certification Certification
- Enhance IT productivity and business self-sufficiency with powerful business-IT collaboration tools
- Reduce risks by identifying, resolving, and preventing costly data problems
- Reduce costs for the business
- Achieve better business outcomes and maximize the return on data
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How to book the Data Quality 10 Developer, Professional Certification
To apply for the Data Quality 10 Developer, Professional Certification , You have to follow these steps:
- Now you can simply Launch and take your test Anytime/Anywhere prior to your test's expiry date
- Click Enroll and log in to your Informatica account
- Once you have registered go to My Training and View Your Transcript
- Click Add to Cart and complete your registration/purchase
Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Profiling | 15% | - Profiling Methods
|
| Informatica Platform Overview | 10% | - Architecture and Components
|
| Analyst Collaboration | 10% | - Analyst Tool Usage
|
| DQ for Excel | 5% | - Excel-based Data Quality
|
| Integration with PowerCenter | 5% | - Execution and Deployment
|
| Address Validation | 5% | - Address Validation Transformation
|
| Content | 10% | - Prebuilt Content Usage
|
| Standardization and Mapplets | 10% | - Data Standardization
|
| Parameters | 5% | - Runtime Configuration
|
| Matching | 10% | - Match Logic
|
| Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|
| Object Import and Export | 5% | - Metadata Management
|
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