Who should take the Data Quality 10 Developer, Professional Certification

People who are familiar with:

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

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:

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

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The following will be discussed in INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps:

• Explain the Web service capabilities required for DQ for Excel
• Apply, configure and troubleshoot data standardization transformations
• Explain Dependency conflict resolution and how it is handled
• Provide an explanation on how to use the Informatica ribbon in Excel
• Recognize how reference tables are used in the standardization process
• Describe how to Export a Project
• Define the techniques for creating mappings for DQ for Excel
• Be aware of where data standardization fits in the DQ process
• Differentiate between the various parsing techniques available
• Perform and interpret column, rule, comparative and mid-stream profiling
• Define the difference between the Basic and Advanced Import options available
• Describe the requirements for integration for Excel

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Data Quality 10 Developer, Professional Certification Path

This is a fundamental exam and gives credential of Data Quality Developer Certified Professional.