Thanks,
Raavi Raja
APEX | Office#403, PSR Prime Towers | Gachibowli | Hyderabad
India(M): +91-8500-122-107 ,(whats app)
| USA(L):+1 (214)-628-3894
Gtalk: raavi.sriraja@gmail.com
WebSite:www.apex-online-it-training.com
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CONTENT OF IDQ
An Overview
of Informatica Developer Tool
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
Scorecard
Business
trend analysis by using chart
Data quality
Transformations
General
Transformations
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 Exceptions Handling mechanism
Match and
Merge mechanism
Data
Consolidation Mechanism
Tasks
PowerCenter Integration
- Execute
Data Quality mappings/mapplets in PowerCenter
Deployment
Process
- 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?
LAB Exercises
Use Cases
THANQ
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