Post on 03-Jan-2016
description
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e t Informatica Data Quality Developer 9.5.1
Instructor Led Course Description
Delivery Methods Virtual Academy Training Online Lab Environment Instructor Led Training
Course Duration 5 days. 50% lecture, 50% hands on
labs
Target Audience New users of Informatica
Developer, including Business and Data Developers
Users who wish to re-familiarize themselves with the Developer tool
Prerequisites Windows GUI A theoretical understanding of
process development and design
Pricing Contact your Informatica
Education Representative for pricing information
More Information Courses are conveniently scheduled around the world. Please visit our website at www.informatica.com/education to find the class that is right for you.
For onsite class information contact your local Education Sales Specialist.
Course Overview
This 5 day instructor led course introduces the student to the Informatica 9
Developer Tool through lecture and hands-on exercises. It has been designed for
Data Quality Developers who are new to Informatica Developer.
Informatica Developer is a thick client workbench tool that developers can use to
profile, cleanse, standardize, de duplicate and consolidate data in an enterprise.
The course will introduce attendees to working with the Developer Tool, performing
tasks such as creating projects and objects, profiling data and identifying anomalies.
It will cover developing mappings and mapplets for use in processes such as data
standardization, address validation, identifying duplicate records and consolidation.
This course will provide users with a high-level overview of the Informatica Data
Quality Process and will set the foundation for the processes that follow.
Objectives After successfully completing this course, students should be able to:
Navigate the Developer Tool and collaborate on projects with Analysts
Perform Column, Rule, Join, Multi object, Comparative and Mid-Stream Profiling
Manage reference tables
Design and develop Mapplets
Create standardization, cleansing and parsing routines
Validate addresses
Identify duplicate records
Build mappings used to associate and consolidate matched records
Create and execute Workflows to populate IDD user inboxes with Exception and Duplicate record tasks.
Use parameters
Run data quality mappings in PowerCenter
Apply data quality mappings to data in Excel
Review the CRM Templates and Jaspersoft Reports available
Course Agenda
0. Introduction to Data Quality Management
1. Working with Informatica Developer 9
GUI, Data Objects, Mappings, Mapplets, Transformations, and Content Sets
2. Analyst Collaboration Reviewing information from the Analyst Mapping specification’s, Profiles, Comments and Tags Creating/updating Reference tables
3. Developer Profiling and Logical Data Objects Join Analysis Profiling Creating a Logical Data Object Column Profiling Multi Object Profiling Mappings and Transformations Mid-Stream and Comparative Profiling
4. Data Standardization Cleanse and transform data Develop data standardization mapplets and mappings
5. Parsing Token Parser Pattern Parser Probabilistic parsing
6. Address Validation Reusable AV Transformation AV Transformation Properties AV Inputs and Outputs Reusable AV Mapplet
7. Matching Grouping data ahead of matching Perform DQ matching Review the Match Performance and Cluster Analysis Reports
8. Identity Matching Identity matching Identity Populations and Strategies
9. Automatic Consolidation Associate and Consolidate data using a variety of techniques
10. Manual Exception and Consolidation Management Build Mappings to identify exception and duplicate
records
11. Task and Workflow Management Build and execute workflows to populate IDD user
inboxes with exception and duplicate records
12. Informatica Data Director Update exception and duplicate records in IDD Administer tasks
13. Parameterization How to use Parameters for Data Quality mappings,
transformations and reference tables
14. PowerCenter Integration Execute DQ Mappings in PowerCenter
15. Object Import/Export Import/Export Projects using both Basic and Advanced
methods
16. DQ for Excel Using Web Services Run Data Quality Mappings on data in Excel Spread
sheets
17. Content What content is available with IDQ9.5.1 Content Management Service Accelerators Core Accelerator
18. Dashboards and Reporting Review the CRM Template Open and review Jaspersoft Profiling Reports and the
Data Quality Dashboard and Reports
19. Project Use all that has been covered and apply it to Product
Data.
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