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Written by SRonline  
09 Jul 2013


An Overview of Informatica Developer 9
Overview of Data Quality and Informatica Developer covering areas such as the GUI, Mappings, Mapplets,Transformations, Content Sets, Data Objects and Tips forworking with Developer.

Analyst Collaboration
- Review Information from the Analyst
- Profiles/Comments/Tags
- Create/Add to Reference Tables
- Shared projects and team collaboration means no loss of information or duplication of work across projects

Developer Profiling
- Perform Join Analysis Profiling
- Perform Column Profiling
- Multi Object Profiling
- Build and execute a Mapping using core transformations
- Configure Transformation Properties

Data Standardization
- Develop data standardization mapplets and mappings
- Cleanse, transform and parse data
- Data Quality cleansing and parsing transformations

Address Validation
- Configuring a Reusable AV Transformation
- AV Transformation Properties
- AV Inputs and Ouputs
- Define a Reusable AV Mapplet
- Build and address validation mapping to incorporate your mapplet Matching
- Grouping Data
- Key Generator Transformation
- Key Gen Methods and Properties
- Analyze Detail Report
- DQ Matching
- Perform matching using the Match Transformation
- Match Properties
- Matching Algorithms
- Cluster Analysis Report
- Create and update matching Mapplets
- Additional Matching Transformations

Identity Matching
- Build matching mappings using Identity Matching
- Identity Populations and Strategies

Automatic Consolidation
- Automatically associate and consolidate your match data using a variety of association and consolidation
- Transformations and techniques

Manual Consolidation Using the Data Quality Assistant
- Build mappings to create and populate the DQA tables using the new Exception Transformation
- Perform Manual consolidation and bad record management using the DQA

PowerCenter Integration
- Execute Data Quality mappings/mapplets in PowerCenter

Object Import/Export
- Learn how to export and import projects using both basic and advanced methods

DQ for Excel
- Run Data Quality mappings on Excel spreadsheets

Parameters
-How to use parameters in Data Quality mappings, transformations and reference tables

Content
- What content is available with IDQ9?
- Content Management Service
- How to configure AV information
- What are Accelerators?
- What comes with the Core Accelerator?

Posted in Informatica Data Quality  
 

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