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
• Achieve better business outcomes and maximize the return on data
• Reduce costs for the business
• Reduce risks by identifying, resolving, and preventing costly data problems

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Who should take the Data Quality 10 Developer, Professional Certification

People who are familiar with:

• Identifying duplicate records
• Converting a profile into a mapping
• Automate and manual consolidation of duplicate records into a master record
• Executing mappings in PowerCenter
• Performing Address Validation
• Using Profiles and reference tables to share information with Analysts
• Deploying Data Quality Mappings in an Excel spreadsheet (connect to Web Services)
• Profiling methods to identify data irregularities and inaccuracies
• Navigation through the Developer Tool
• Project Collaboration techniques such as Tags and Comments
• Using mappings and mapplets to cleanse and standardize data

Peoplw who want to learn how to run data quality mapping on Excel spread sheets in this module (Power Center Integration, Performing Consolidation, grouping data and DQ Matching Cluster Analysis, GUI, Mappings Mapplets and Reusable AV Transformation.etc) and identify, resolve, and prevent costly data problems can consult INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exam and INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exams.

With a number of opportunities in the field, the following job roles will get benefited from this exam:

• Business Developers
• Candidates interested in taking up career under Informatica
• Business Analysts
• Data Explorers
• Analytics Professionals
• Mainframe Developers and Architects

How to Prepare For Data Quality 10 Developer, Professional Certification

Preparation Guide for Data Quality 10 Developer, Professional Certification

Introduction for Data Quality 10 Developer, Professional Certification

This test measures your competency as a member of a project implementation team. This involves an in-depth knowledge of Data Quality processes such as Profiling, Standardization, Matching, and Consolidation. You must select and configure the appropriate Data Quality transformations and build, debug and execute Data Quality mappings including integrating those mappings into Power Center if needed.

The skills and knowledge areas measured by this test are focused on product core functionality inside the realm of a standard project implementation. Training materials, supporting documentation and practical experience may become sources of question development.

This is recommended for students seeking certification as a Data Quality Developer Certified Professional.

The suggested training prerequisites for this certification level are the completion of the following Informatica course(s):

• Informatica Analyst
• Data Quality: Advanced Techniques
• Data Quality: Data Quality Management for Developers

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