IDQ951 Developer DS

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d a t a s h e 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

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Transcript of IDQ951 Developer DS

Page 1: IDQ951 Developer DS

d a

t as

h e

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

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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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