Informatica Data Services Getting Started Guide

8/11/2019 Informatica Data Services Getting Started Guide

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Informatica Data Services (Version 9.5.1)

Getting Started Guide


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Informatica Data Services Getting Started Guide

Version 9.5.1December 2012

Copyright (c) 1998-2012 Informatica Data Services. All rights reserved.

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This product includes software copyright 2003-2006 Joe WaInes, 2006-2007 XStream Committers. All rights reserved. Permissions and limitations regarding this softwareare subject to terms available at http://xstream.codehaus.org/license.html. This product includes software developed by the Indiana University Extreme! Lab. For further information please visit http://www.extreme.indiana.edu/.

This Software is protected by U.S. Patent Numbers 5,794,246; 6,014,670; 6,016,501; 6,029,178; 6,032,158; 6,035,307; 6,044,374; 6,092,086; 6,208,990; 6,339,775;6,640,226; 6,789,096; 6,820,077; 6,823,373; 6,850,947; 6,895,471; 7,117,215; 7,162,643; 7,243,110, 7,254,590; 7,281,001; 7,421,458; 7,496,588; 7,523,121; 7,584,422;7676516; 7,720,842; 7,721,270; and 7,774,791, international Patents and other Patents Pending.

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Part Number: DS-GSG-951-001


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Table of Contents

Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i i iInformatica R esources. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii

Informati ca Customer Portal. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii

Informati ca Documentation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii

Informati ca Web Site. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii

Informati ca How-To Library. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii

Informati ca Knowledge Base. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv

Informati ca Multimedia Knowledge Base. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv

Informati ca Global Customer Support. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv

Chapter 1: Getting Started Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1Informatica D ata Services Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

Informatica D eveloper Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2

Informati ca Developer Welcome Page. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

Cheat Sh eets. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

The Tutorial S tory. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

Tutorial Prere quisites. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

Chapter 2: Lesson 1. Setting Up Informatica Developer. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5Setting Up Inf ormatica Developer Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

Task 1. Start Informatica Developer. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

Task 2. Add a Domain. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

Task 3. Add a Mod el Repository. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

Task 4. Create a P roject. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

Task 5. Creat e a Folder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

Task 6. Selec t a Default Data Integration Service. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

Setting Up Inf ormatica Developer Summary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

Chapter 3: Les son 2. Importing Physical Data Objects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Importing Physical Data Objects Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

Task 1. Import the Boston_Customers Flat File Data Object. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

Task 2. Import the LA_Customers Flat File Data Object. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

Importing Physical Data Objects Summary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

Chapter 4: Les son 3. Creating a Logical View of Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12Creating a Lo gical View of Data Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

Task 1. Impor t a Logical Data Object Model. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13

Task 2. Creat e a Logical Data Object Mapping. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

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Step 1. Create the Mapping. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

Step 2. Add Sources to the Mapping. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

Step 3. Add an Expression Transformation to the Mapping. . . . . . . . . . . . . . . . . . . . . . . . . . . 15

Step 4. Add a Union Transformation to the Mapping. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

Task 3. Run the Logical Data Object Mapping. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

Creating a Logical View of Data Summary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

Chapter 5: Lesson 4. Creating a Virtual View of Data.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18Creating a Virtual View of Data Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18

Task 1. Create an SQL Data Service. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

Task 2. Run an SQL Query to Preview Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20

Task 3. Create an Application. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20

Task 4. Deploy the Application. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

Creating a Vir tual View of Data Summary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

Chapter 6: Lesson 5. Creating a Web Service. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22Creating a We b Service Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22

Task 1. Creat e a Web Service. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23

Task 2. View and Validate the Operation Mapping. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

Task 3. Test t he Operation Mapping. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

Task 4. Creat e an Application. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

Task 5. Deplo y the Application. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

Creating a We b Service Summary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

Chapter 7: Lesson 6. Exporting a Mapping to PowerCenter. . . . . . . . . . . . . . . . . . . . . . . . 26Exporting a M apping to PowerCenter Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26

Task 1. Expor t a Mapping to PowerCenter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

Exporting a M apping to PowerCenter Summary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

Appendix A: Frequently Asked Questions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28Informatica D eveloper Frequently Asked Questions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28

Appendix B: Glossary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30

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PrefaceThe Data Services Getting Started Guide is written for data services developers. It provides a tutorial to help first-time users learn how to use Informatica Developer for data services tasks. This guide assumes that you have anunderstanding of flat file concepts, relational database concepts, web services concepts, and the databaseengines in your environment.

Informatica Resources

Informatica Customer Portal As an Informatica customer, you can access the Informat ica Customer Portal site athttp://mysupport.informatica.com. The site contains product information, user group information, newsletters,access to the Informatica customer support case management system (ATLAS), the Informatica How-To Library,the Informatica Knowledge Base, the Informatica Multimedia Knowledge Base, Informatica ProductDocumentation, and access to the Informatica user community.

Informatica DocumentationThe Informatica Documentation team takes every effort to create accurate, usable documentation. If you havequestions, comments, or ideas about this documentation, contact the Informatica Documentation team throughemail at [email protected]. We will use your feedback to improve our documentation. Let usknow if we can contact you regarding your comments.

The Documentation team updates documentation as needed. To get the latest documentation for your product,navigate to Product Documentation from http://mysupport.informatica.com.

Informatica Web SiteYou can access the Informatica corporate web site at http://www.informatica.com. The site contains informationabout Informatica, its background, upcoming events, and sales offices. You will also find product and partner

information. The services area of the site includes important information about technical support, training andeducation, and implementation services.

Informatica How-To Library As an Informatica customer, you can access the Informat ica How-To Library at http:/ /mysupport .informati ca.com.The How-To Library is a collection of resources to help you learn more about Informatica products and features. Itincludes articles and interactive demonstrations that provide solutions to common problems, compare features andbehaviors, and guide you through performing specific real-world tasks.

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Informatica Knowledge Base As an Informatica customer, you can access the Informat ica Knowledge Base at http: //mysupport .informatica.com.Use the Knowledge Base to search for documented solutions to known technical issues about Informaticaproducts. You can also find answers to frequently asked questions, technical white papers, and technical tips. If you have questions, comments, or ideas about the Knowledge Base, contact the Informatica Knowledge Base

team through email at KB_Feedback @informatica.com.

Informatica Multimedia Knowledge Base As an Informatica customer, you can access the Informat ica Multimedia Knowledge Base athttp://mysupport.informatica.com. The Multimedia Knowledge Base is a collection of instructional multimedia filesthat help you learn about common concepts and guide you through performing specific tasks. If you havequestions, comments, or ideas about the Multimedia Knowledge Base, contact the Informatica Knowledge Baseteam through email at KB_Feedback @informatica.com.

Informatica Global Customer Support

You can contact a Customer Support Center by telephone or through the Online Support. Online Support requiresa user name and password. You can request a user name and password at http://mysupport.informatica.com.

Use the following telephone numbers to contact Informatica Global Customer Support:

North America / South America Europe / Middle East / Africa Asia / Australia

Toll Free

Brazil: 0800 891 0202

Mexico: 001 888 209 8853

North America: +1 877 463 2435

Toll Free

France: 0805 804632

Germany: 0800 5891281

Italy: 800 915 985

Netherlands: 0800 2300001

Portugal: 800 208 360

Spain: 900 813 166Switzerland: 0800 463 200

United Kingdom: 0800 023 4632

Standard Rate

Belgium: +31 30 6022 797

France: +33 1 4138 9226

Germany: +49 1805 702 702

Netherlands: +31 306 022 797

United Kingdom: +44 1628 511445

Toll Free

Austra lia: 1 800 151 830

New Zealand: 09 9 128 901

Standard Rate

India: +91 80 4112 5738

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C H A P T E R 1

Getting Started OverviewThis chapter includes the following topics:

Informatica Data Services Overview, 1

Informatica Developer Overview, 2

The Tutorial Story, 4

Tutorial Prerequisites, 4

Informatica Data Services OverviewInformatica Data Services provides the ability to create a unified model of data and provides access to data acrossthe enterprise. A data service is a collection of reusable operations that you can run against sources to access,transform, and deliver data.

Use Informatica Developer (the Developer tool) to accomplish the following data services tasks:

Define logical views of data. A logical view of data is a representation of data that resides in an enterprise. Alogical view of data includes a logical data model, logical data objects, and logical data object mappings.

Define logical data object models. A logical data object model describes the structure and use of data in anenterprise. The model contains logical data objects and defines relationships between them. A logical dataobject describes a logical entity in an enterprise. It has attributes, keys, and it describes relationships betweenattributes. You can define a logical data object model to create a unified model of data in an enterprise.

Map logical models to data sources or targets. Create a mapping that links objects in a logical model to datasources or targets. You can link data from multiple, disparate sources to have a single view of the data. Youcan also load data that conforms to a model to multiple, disparate targets.

Create virtual views of data. A virtual view is a type of table that uses SQL logic to convert the format of retireddata. You can create virtual view s to store retired data in a different format from data on the productiondatabase.

Create an SQ L data service. An SQL data service is a virtual database that end users can query. It containsvirtual schemas and the virtual tables or stored procedures that define the database structure. End users can

run SQL queries against the virtual tables without affecting the source data. Create a web service. You can create and deploy a web service so that web service clients can access data

integration functionality through a web service interface.

Export mappings to PowerCenter. You can export mappings to PowerCenter to reuse the metadata for physicaldata integration.

Create and deploy mappings that end users can query. You can create mappings and deploy them so that endusers can query the mapping results.

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Profile data. If you use the profiling option, profile data to reveal the content and structure of your data.Profiling is a key step in any data project, as it can identify strengths and weaknesses in your data and helpyou define your project plan.

Informatica Developer OverviewThe Developer tool is an application client that developers use to design and implement data quality and dataservices solutions.

The following figure shows the Developer tool:

The Developer tool workbench displays the following views by default:

Object Explorer view

Displays projects, folders, and the objects within the projects and folders. Appears in the top left area of theDeveloper tool.

Connection Explorer view

Displays connections to relational databases. Appears in the top right area of the Developer tool.

Outline view

Displays objects that are dependent on an object selected in the Object Explorer view. Appears in thebottom left area of the Developer tool.

Properties view

Displays the properties for an object that is in focus in the editor. Appears in the bottom area of the Developer tool.

You can hide views and move views to another location in the Developer tool workbench. Click Window > ShowView to select the views you want to display.

The Developer tool workbench also displays the following views:

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Cheat Sheets view

Displays the cheat sheet that you open. To open a cheatsheet, click Help > Cheat Sheets and select acheatsheet.

Help view

Displays context-sensitive online help.

Progress view

Displays the progress of operations in the Developer tool, such as a mapping run.

Search view

Displays the search results. You can also launch the search options dialog box.

Tags view

Displays tags that define an object in the Model repository based on business usage.

Validation Log view

Displays object validation errors.

Informatica Developer Welcome PageThe first time you open the Developer tool, the Welcome page appears. Use the Welcome page to learn moreabout the Developer tool, set up the Developer tool, and to start working in the Developer tool.

The Welcome page displays the following options:

Overview. Click the Overview button to get an overview of data quality and data services solutions.

First Steps. Click the First Steps button to learn more about setting up the Developer tool and accessingInformatica Data Quality and Informatica Data Services lessons.

Tutorials. Click the Tutorials button to see tutorial lessons for data quality and data services solutions.

Web Resources. Click the Web Resources button for a link to mysupport.informatica.com. You can access theInformatica How-To Library. The Informatica How-To Library contains articles about Informatica Data Quality,Informatica Data Services, and other Informatica products.

Workbench. Click the Workbench button to start working in the Developer tool.

Cheat SheetsThe Developer tool includes cheat sheets as part of the online help. A cheat sheet is a step-by-step guide thathelps you complete one or more tasks in the Developer tool.

After you complete a cheat sheet, you complete the tasks and see the resul ts. For example, after you complete acheat sheet to import and preview a relational data object, you have imported a relational database table andpreviewed the data in the Developer tool.

To access cheat sheets, click Help > Cheat Sheets .

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The Tutorial StoryHypoStores Corporation is a national retail organization with headquarters in Boston and stores in several states.It integrates operational data from stores nationwide with the data store at headquarters on regular basis. Itrecently opened a store in Los Angeles.

The headquarters includes a central ICC team of administrators, developers, and architects responsible for providing a common data services layer for all composite and BI applications. The BI applications include a CRMsystem that contains the master customer data files used for billing and marketing.

HypoStores Corporation must perform the following tasks to integrate data from the Los Angeles operation withdata at the Boston headquarters:

Set up a single view of customer data from both locations.

Create a virtual database to enable access to the customer data from both offices. Or, create a web service toenable access to the customer data from both offices.

Tutorial PrerequisitesBefore you can begin the tutorial lessons, the Informatica domain must be running and connected to a ModelRepository Service and a Data Integration Service.

The installer includes tutorial files that you will use to complete the lessons. You can find all the files in both theclient and server installations:

You can find the tutorial files in the following location in the Developer tool installation path:

\clients\DeveloperClient\Tutorials

You can find the tutorial files in the following location in the services installation path:

\server\Tutorials

You need the following files for the tutorial lessons:

All_Customers.csv

Boston_Customers.csv

Customer_Order.xsd

LA_customers.csv

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C H A P T E R 2

Lesson 1. Setting Up InformaticaDeveloper

This chapter includes the following topics:

Setting Up Informatica Developer Overview, 5

Task 1. Start Informatica Developer, 6

Task 2. Add a Domain, 6

Task 3. Add a Model Repository, 7

Task 4. Create a Project, 7

Task 5. Create a Folder, 7

Task 6. Select a Default Data Integration Service, 8

Setting Up Informatica Developer Summary, 8

Setting Up In formatica Develope r OverviewIn this lesson, you start and set up the Developer tool. To set up the Developer tool, you add a domain. You add aModel repository, and you create a project and folder to store your work. You also select a default Data IntegrationService.

The Informatica domain is a collection of nodes a nd services that define the Informatica environment. Services inthe domain inclu de the Model Repositor y Service and the Data Integration Service.

The Model Repo sitory Service manages the Model re pository. The Model repository is a relational database thatstores the metad ata for projects that you create in the Devel oper tool. A project stores objects that you create inthe Developer tool. A project can also contain folders that store related objects, such as objects that are part of thesame business requirement.

The Data Integration Service performs data integration tasks in the Developer tool.

ObjectivesIn this lesson, you complete the following tasks:

Start the Developer tool and go to the Developer tool workbench.

Add a domain in the Developer tool.

Add a Model repository so that you can create a proj ect.

Create a project to store the objects that you create in the Developer tool.

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Create a folder in the project that can store related objects.

Select a default Data Integration Service to perform data integration tasks.

Prerequisites

Before you start this lesson, verify the following prerequisites:

You have installed the Developer tool.

You have a domain name, host name, and port number to connect to a domain. You can get this informationfrom a domain administrator.

A domain administrator has configured a Model Repository Service.

You have a user name and password to access the Model Repository Service. You can get this informationfrom a domain administrator.

A domain administrator has configured a Data Integration Servi ce.

The Data Integration Service is running.

Timing

Set aside 5 to 10 minutes to complete the tasks in this lesson.

Task 1. Start Informatica Developer Start the Developer tool to begin the tutorial.

1. Start the Developer tool.

The Welcome page of the Developer tool appears.

2. Click the Workbench button.

The Developer tool workbench appears.

Task 2. Add a DomainIn this task, you add a domain in the Developer tool to access a Model repository.

1. Click Window > Preferences .

The Preferences dialog box appears.

2. Select Informatica > Domains .

3. Click Add .

The New Domain dialog box appears.

4. Enter the domain name, host name, and port number.

5. Click Finish .

6. Click OK .

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Task 3. Add a Model RepositoryIn this task, you add the Model repository that you want to use to store projects and folders.

1. Click File > Connect to Repository .

The Connect to Repository dialog box appears.2. Click Browse to select a Model Repository Service.

3. Click OK .

4. Click Next .

5. Enter your user name and password.

6. Select a namespace.

7. Click Finish .

The Model repository appears in the Object Explorer view.

Task 4. Create a ProjectIn this task, you create a project to store objects that you create in the Developer tool. You can create one projectfor all tutorials in this guide.

1. In the Object Explorer view, select a Model Repository Service.

2. Click File > New > Project .

The New Project dialog box appears.

3. Enter your name prefixed by "Tutorial_" as the name of the project.

4. Click Finish .

The project appears under the Model Repository Service in the Object Explorer view.

Task 5. Create a Folder In this task, you create a folder to store related objects. You can create one folder for all tutorials in this guide.

1. In the Object Explorer view, select the project that you want to add the folder to.

2. Click File > New > Folder .

3. Enter a name for the folder.

4. Click Finish .

The Developer tool adds the folder under the project in the Object Explorer view. Expand the project to seethe folder.

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Task 6. Select a Default Data Integration ServiceIn this task, you select a default Data Integration Service to run mappings and preview data.

1. Click Window > Preferences .

The Preferences dialog box appears.2. Select Informatica > Data Integration Services .

3 . Expand the domain.

4. Select a Data Integration Service.

5. Click Set as Default .

6. Click OK .

Setting Up Informatica Developer SummaryIn this lesson, you learned that the Informatica domain services include the Model Repository Service and DataIntegration Service. The Model Repository Service manages the Model repository. A Model repository containsprojects and folders. The Data Integration Service performs data integration tasks.

You started the Developer tool and set up the Developer tool. You added a domain to the Developer tool, added aModel repository, and created a project and folder. You also selected a default Data Integration Service.

Now, you can use the Developer tool to complete other lessons in this tutorial.

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C H A P T E R 3

Lesson 2. Importing Physical DataObjects


Importing Physical Data Objects Overview, 9

Task 1. Import the Boston_Customers Flat File Data Object, 10

Task 2. Import the LA_Customers Flat File Data Object, 10

Importing Physical Data Objects Summary, 11

Importing Physical Data Objects Overview A physical data object is a representat ion of data based on a fl at fi le or relat ional database table. You can import aflat file or relational database table as a physical data object to use as a source or target in a mapping.

Story

HypoStores Corporation stores customer data from the Los Angeles office and Boston office in flat files.HypoStores wants to work with this customer data in the Developer tool.

Objectives

In this lesson, you import flat files as physical data objects. You also set the source file directory so that the DataIntegration Service can read the source data from the correct directory.

Prerequisites

Before you start this lesson, verify the following prerequisite:

You have completed lesson 1 in this tutorial.

Timing


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Task 1. Import the Boston_Customers Flat File DataObject

In this task, you import a physical data object from a file that contains customer data from the Boston office.

1. In the Object Explorer view, select the tutorial project.

2. Click File > New > Data Object .

The New dialog box appears.

3. Select Physical Data Objects > Flat File Data Object and click Next .

The New Flat File Data Object dialog box appears.

4. Select Create from an existing flat file .

5. Click Browse and navigate to Boston_Customers.csv in the following directory: \clients\DeveloperClient\Tutorials

6. Click Open .

The wizard names the data object "Boston_Customers."

7. Click Next .

8. Verify that the code page is MS Windows Latin 1 (ANSI), superset of Latin 1.

9. Verify that the format is delimited.

10. Click Next .

11. Verify that the delimiter is set to comma.

12. Select Import column names from first line .

13. Click Finish .

The Boston_Customers physical data object appears under Physical Data Objects in the tutorial project.

14. Click the Read view and select the Output transformation.

15. Click the Runtime tab on the Properties view.

16. Set Source file directory to the following directory on the Data Integration Service machine: \server\Tutorials

17. Click the Data Viewer view.

18. Click Run .

The Data Integration Service reads the data from the Boston_Customers file and shows the results in theOutput window.

19. Click File > Save .

Task 2. Import the LA_Customers Flat File Data ObjectIn this task, you import a physical data object from a flat file that contains customer data from the Los Angelesoffice.


2. Click File > New > Data Object .


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3. Select Physical Data Objects > Flat File Data Object and click Next .

The New Flat File Data Object dialog box appears.

4. Select Create from an existing flat file .

5. Click Browse and navigate to LA_Customers.csv in the following directory: \clients\DeveloperClient\Tutorials6. Click Open .

The wizard names the data object "LA_Customers."

7. Click Next .

8. Verify that the code page is MS Windows Latin 1 (ANSI), superset of Latin 1.

9. Verify that the format is delimited.

10. Click Next .

11. Verify that the delimiter is set to comma.

12. Select Import column names from first line .

13. Click Finish .

The LA_Customers physical data object opens in the editor.14. Click the Read view and select the Output transformation.

15. Click the Runtime tab on the Properties view.

16. Set the source file directory to the following directory on the Data Integration Service machine: \server\Tutorials


18. Click Run .

The Data Integration Service reads the data from the LA_Customers file and shows the results in the Outputwindow.


Importing Physical Data Objects SummaryIn this lesson, you learned that physical data objects are representations of data based on a flat file or a relationaldatabase table.

You imported physical data objects from flat files. You also set the source file directory so that the Data IntegrationService can read the source data from the correct directory.

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The following figure shows a process to create a logical view of data:

Story

HypoStores Corporation wants a single view of customer data from the Los Angeles and Boston offices. Theenterprise data model requires that customer names use the same format regardless of the data source. Thecustomer data from the Los Angeles office uses a different format for customer names than the data from theBoston office. The data from the Los Angeles office uses the correct format, so you need to reformat the customer data from the Boston office to conform to the data model.

Objectives

In this lesson, you complete the following tasks:

1. Import a logical data object model that contains the Customer and Orders logical data objects.2. Create a logical data object read mapping with the Customer logical data object as the mapping output. The

mapping transforms the Boston customer data and defines a single view of the data from the Los Angeles andBoston offices.

3. Run the mapping to view the combined customer data.

Prerequisites


Complete lessons 1 and 2 in this tutorial.

Timing

Set aside 20 minutes to complete the tasks in this lesson.

Task 1. Import a Logical Data Object ModelIn this task, you import a logical data object model that contains the Customer and Order logical data objects.


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2. Click File > New > Logical Data Object Model .


3. Select Logical Data Object Model from Data Model and click Next .

The New Logical Data Object Model dialog box appears.

4. Select W3C XML Schema 1.0 (XSD) as the model type.

5. Enter Customer_Order as the logical data object model name.

6. Click Next .

7. Click the Open button ( ) in the Value column to select an XSD file.

8. Navigate to Customer_Order.xsd in the following directory: \clients\DeveloperClient\Tutorials

9. Click Open .

10. Select All for the Collapse Level property.

11. Clear the Generate IDs property

12. Click Next .

13. Click the Move all items button to add the Customer and Order logical data objects to the logical data objectmodel.

14. Click Finish .

The Customer and Order logical data objects appear in the editor.

Task 2. Create a Logical Data Object MappingIn this task, you create a logical data object mapping that combines the first and last names of the customer datafor the Boston office. The mapping also combines the customer data for the Los Angeles and Boston offices.

To create the logical data object mapping, complete the following steps:

1. Create a mapping with the Customer data object as the mapping output.

2. Add the LA_Customers and Boston_Customers physical data objects as sources.

3. Add an Expression transformation to concatenate the FirstName and LastName columns of the Bostoncustomer data. Preview the transformation output.

4. Add a Union transformation to combine the Los Angeles and Boston customer data.

Step 1. Create the MappingCreate a logical data object mapping with the Customer data object as the mapping output.

1. In the Object Explorer view, expand Logical Data Object Models in the tutorial project.

2. Select the Customer_Order logical data object model.

3. Click File > New > Other .

4. Select Informatica > Logical Data Objects > Logical Data Object Mapping and click Next .

5. Click Browse and select the Customer logical data object under the Customer_Order logical data objectmodel in the tutorial folder.

6. Select Read as the mapping type.

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7. Click Finish .

The editor displays a mapping with the Customer logical data object as the mapping output.


Step 2. Add Sources to the Mapping Add the LA_Customers and Boston_Customers data obj ects to the mapping as sources.

1. In the Object Explorer view, expand Physical Data Objects in the tutorial folder.

2. Select LA_Customers and drag it to the editor that contains the logical data object mapping.

3. Select Read and click OK .

LA_Customers appears in the editor as a source.

4. Select Boston_Customers and drag it to the editor.

5. Select Read and click OK .

Boston_Customers appears in the editor as a source.


Step 3. Add an Expression Transformation to the Mapping Add an Expression transformation to concatenate the FirstName and LastName columns of the Boston customer data. Preview the transformation output.

1. In the Transformation palette, select the Expression transformation and drag it to the editor.

An Express ion tr ansformation appears in the editor.

Tip: To find the Expression transformation, click the Customize the Transformation Palette button at the topof the palette. Select Show Icons and Labels. Expand the palette from the right edge to see the labels.

2. Select all columns in the Boston_Customers source and drag them to the Expression transformation.

Tip: Hold down the Shift key to select multiple columns. You might need to scroll down the list of columns toselect all of them.

The columns appear as ports in the Expression transformation.

3. Select the Expression transformation and click the Ports tab in the Properties view.

4. Select Output Only and click the New (Insert) button.

A por t appears.

5. Enter FullName as the port name and change the precision to 20 .

6. Click the Open button ( ) on the right of the Expression column to open the Expression editor.

7. Delete the text in the Expression window.

8. Enter the following expression: CONCAT( CONCAT( FIRSTNAME, ' ' ), LASTNAME )

9. Click Validate to validate the expression. Click OK .

10. Click OK to exit the Expression editor.

11. Select the Expression transformation in the editor.

12. Select the FullName port.

13. Click the Move Up button at the top of the transformation until you have moved the FullName port below theCustomer Tier port.


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16. Click Run .

The Data Integration Service processes the data from the Boston_Customers source and the Expressiontransformation. The Developer tool shows the results in the Output window. The results show that the DataIntegration Service has concatenated the FirstName and LastName columns from the source.

Step 4. Add a Union Transformation to the Mapping Add a Union transformat ion to combine the source data.

1. In the Transformation palette, select the Union transformation and drag it to the editor.

A Union transformation appears i n the editor .

2. Select all columns in the LA_Customers source and drag them to the Union transformation.

Tip: Hold down the Shift key to select multiple columns. You might need to scroll down the list of columns toselect all of them.

The columns appear as ports in an input group and an output group of the Union transformation.

3. Select the Union transformation and click the Groups tab in the Properties view.4. Click the New (Insert) button to add a group.

5 . Name the group Boston_Input .

The Union transformation includes the Boston_Input group with ports of the same name as the input groupand output group.

6. In the editor, scroll through the ports of the Union transformation until you see the Boston_Input group.

7. In the Expression transformation, select all of the ports except LastName and FirstName.

8. Scroll to the top of the transformation. Then, drag the ports to the Boston_Input group of the Uniontransformation.

The Developer tool links the ports in the Expression transformation to the ports in the Boston_Input group of the Union transformation.

9. Select the ports in the output group of the Union transformation, except Customer_Region, and drag them tothe Customer transformation.

The Developer tool links the ports in the Union transformation to the ports in the Customer transformation.

10. Right-click an empty area in the editor and click Validate .

The Developer tool displays a message stating that it found no validation errors.

11. Click OK .


Tip: Right-click an empty area in the editor and click Arrange All to arrange mapping objects.

Task 3. Run the Logical Data Object MappingIn this task, you run the logical data object mapping to create a single view of customer data from the Los Angelesand Boston offices.

u Right-click an empty area in the editor and click Run Data Viewer .

The Data Viewer view appears.

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After the Data Integration Service runs the mapping, the Developer tool shows the data in the Output section of the Data Viewer view. The output shows that you merged the FirstName and LastName columns of theBoston_Customers source. It also shows that you combined the data from the LA_Customers source andBoston_Customers source.

Creating a Logical View of Data SummaryIn this lesson, you learned that a logical data object model describes the structure and use of data in anenterprise. The model contains logical data objects that define a data entity in an enterprise, such as a customer or an order. You also learned that you can create a mapping that reads data from multiple sources, transforms it,and applies the output to a logical data object.

You created a logical data object model to provide a single view of customer data.

Use the logical data object mapping that you created in this lesson in the following lessons:

Chapter 5, Lesson 4. Creating a Virtual View of Data on page 18

Chapter 6, Lesson 5. Creating a Web Service on page 22 Chapter 7, Lesson 6. Exporting a Mapping to PowerCenter on page 26

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C H A P T E R 5

Lesson 4. Creating a Virtual Viewof Data


Creating a Virtual View of Data Overview, 18

Task 1. Create an SQL Data Service, 19

Task 2. Run an SQL Query to Preview Data, 20

Task 3. Create an Application, 20

Task 4. Deploy the Application, 21

Creating a Virtual View of Data Summary, 21

Creating a Virtual View of Data Overview A vir tual v iew of data i s a v irtua l database that you can query as if it were a phys ical database.

To create a virtual database, you define an SQL data service in the Developer tool. The SQL data service mustcontain at least one virtual schema that defines the virtual database structure. The virtual schema must contain atleast one virtual table. A virtual table can have a virtual tab le mapping that links a virtual table to source data anddefines the data flow between the sources and t he virtual table.

After you cr eate an SQL data service, you crea te an application and add the SQL data service to the application. An applica tion i s an object that contains one or more SQL da ta services and mappings. You can deploy theapplication to a Data Integration Service to make the virtual database available for end users to query.

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The following figure shows a process for creating a virtual view of data:

Story

HypoStores Corporation wants to create a report about customers for the Los Angeles and Boston offices.However, the Los Angeles customer data is not in the central data warehouse. A developer in the IT departmenthas combined the data for the Los Angeles and Boston customer offices in a logical data object model. Thedeveloper can make this data available to query in a virtual database. A business analyst can create a reportbased on the virtual data.

Objectives


1. Create an SQL data service to define a virtual database that contains customer data.

2. Preview the virtual data.

3. Create an application that contains the SQL data service.

4. Deploy the application to a Data Integration Service.

Prerequisites


Complete lessons 1, 2, and 3 in this tutorial.

Timing


Task 1. Create an SQL Data ServiceIn this task, you create an SQL data service to create a virtual database that end users can query.


2. Click File > New > Data Service .


3. Select SQL Data Service and click Next .

The New SQL Data Service dialog box appears.

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4. Enter HypoStores_Customers for the SQL data service name and click Next .

5. To create a virtual table, click the New button.

The Developer tool adds a virtual table to the list of virtual tables.

6. Enter Customers for the virtual table name.

7. Click the Open button ( ) in the Data Object column.

The Select a Data Object dialog box appears.

8. In the tutorial folder, expand the Customer_Order logical data object model, and select the Customer logicaldata object.

9. Click OK .

The Developer tool adds Customer as the virtual table source. It also specifies Logical Data Object as thesource type and the tutorial project as the location.

10. Enter Customer_Schema in the Virtual Schemas column and press Enter.

11. Click Finish .

The Developer tool creates the HypoStores_Customers SQL data service. The SQL data service contains theCustomers table and the Customers mapping.

Task 2. Run an SQL Query to Preview DataIn this task, you run an SQL query against the Customers virtual table to preview the data.

1. In the Object Explorer view, open the HypoStores_Customers SQL data service.

2. Select the Data Viewer view.

3. In the Input section, enter the following SQL statement: SELECT * from customers

4. Click Run .

The Output section displays the combined customer data from the Los Angeles and Boston offices.

Task 3. Create an ApplicationIn this task, you create an application that contains the SQL data service.


2. Click File > New > Application .

The New Application dialog box appears.

3. Enter HypoStores_Customers_App for the application name and click Next .4. Click Add .

The Add Objects dialog box appears.

5. Select HypoStores_Customers and click OK .

6. Click Finish .

The Developer tool creates an application that contains the HypoStores_Customers data service.

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Task 4. Deploy the ApplicationIn this task, you deploy the application so end users can query virtual tables in the SQL data service through aJDBC or ODBC client tool.

1. In the Object Explorer view, expand Applications in the tutorial project.

2. Right-click the HypoStores_Customers_App application and click Deploy .

The Deploy dialog box appears.

3. Click Browse next to the Domain option.

4. Select a domain and click OK .

5. Select the Data Integration Service that you want to deploy the application to.

6. Click Finish .

When the deployment succeeds, the Deploy Completed dialog box appears.

7. Click OK .

Creating a Virtual View of Data SummaryIn this lesson, you learned that you can define an SQL data service that contains a virtual database. A virtualdatabase includes at least one schema and virtual table. You learned that you can associate the virtual table witha data object. You also learned that you can make the virtual database available so that end users can query thevirtual data.

You created a virtual view of data and ran an SQL query to preview the virtual data. You also created anapplication to contain the virtual data and deployed the application to a Data Integration Service.

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C H A P T E R 6

Lesson 5. Creating a Web ServiceThis chapter includes the following topics:

Creating a Web Service Overview, 22

Task 1. Create a Web Service, 23

Task 2. View and Validate the Operation Mapping, 24

Task 3. Test the Operation Mapping, 24

Task 4. Create an Application, 24

Task 5. Deploy the Application, 25

Creating a Web Service Summary, 25

Creating a Web Service Overview A web servi ce provides access to data integration functional ity through a web service interface.

You create web services in the Developer tool. A web service can have one or more operations. Each operationdefines an action that the web service client can perform when the web service client connects to a web service. Inthe Developer tool, each operation corresponds to an operation mapping.

After you cr eate a web service, you create an application and add the web servi ce to the application. Anapplication is an object that contains one or more web services, SQL data services, and mappings. Deploy theapplication to a Data Integration Service to make the web service available for web service clients to connect to.

Story

Hypostores customer service representatives want to access customer data from the Los Angeles and Bostonoffices over a network. The customer service representatives want to view customer information based on thecustomer ID. A d eveloper in the IT department has a logical data o bject for customer data. The developer hascombined the da ta for the Los Angeles and Bos ton customer offices in a logical data object mapping.

The developer ca n create a web service that accep ts a customer ID, looks up customer data in the logical dataobject, and returns the customer details. Then, the developer can deploy an application containing the web serviceto a Data Integration Service. The administrator can provide customer service with the WSDL URL so thatcustomer service can connect to the web service.

Objectives


1. Create a web service that provides access to customer details.

2. View and validate the operation mapping.

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3. Test the operation mapping.

4. Create an application that contains the web service.

5. Deploy the application to a Data Integration Service.

Prerequisites


Complete lessons 1, 2, and 3 in this tutorial.

Timing

Set aside 15 to 20 minutes to complete this lesson.

Task 1. Create a Web ServiceIn this task, you create a web service with an operation that returns customer details based on a customer ID. You

use a logical data object to create an operation.


2. Click File > New > Data Service.


3. Select Web Service and click Next .

The New Web Service dialog box appears.

4. Enter HypoStores_CustDetails for the web service name and click Next .

5. Click the arrow next to the New button and click Operation > Create from Reusable Object .

The Select Reusable Object dialog box appears.

6. Expand the tutorial project, browse to Logical Data Object Model > Data Object Model , and then select

Customer .7. Enter getCustomerByID for the operation name.

The Developer tool uses the name you provide for the operation to define the names for the operation inputand the operation output.

8. Click getCustomerByID_Input to select fields from the logical data object.

The Developer tool uses the fields you select from the logical data object to define elements in the operationinput.

9. On the Operation Input tab, clear the customer field to clear all the selected fields. Then, selectCUSTOMER_ID .

You select CUSTOMER_ID because you want the operation input to include an element for the customer ID.You want to return all the customer details available for the customer ID in the operation output. Therefore,

you do not need to select fields for the operation output because all fields are selected by default on theOperation Output tab of getCustomerByID_Output.

10. To review the input of the operation mapping, select the Mapping Input tab.

11. To review the output of the operation mapping, select getCustomerByID_Output and then select theMapping Output tab.

12. Click Finish .

The Developer tool creates the Hypostores_CustDetails web service and an operation mapping for the operation.The operation mapping contains an Input, Lookup, and Output transformation.

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Task 2. View and Validate the Operation MappingIn this task, you view and validate the operation mapping.

1. In the Outline view, select the operation mapping.

The operation mapping appears in the editor.2. Right-click an empty area of the editor and click Validate .

The Developer tool displays a message stating that it found no validation errors.


Task 3. Test the Operation MappingIn this task, you test the operation mapping by providing a customer ID as input and previewing the customer details in the output. In the Data Viewer view, you can enter a SOAP request in the Input window and view the

SOAP response in the Output window.

1. Click an empty area in the editor.

2. Select the Data Viewer view.

3. In the Input window, replace the question mark (?) with 10110147 .10110147 is a customer ID.

4. Click Run .

The Output window displays the SOAP response based on the customer ID you entered.

Task 4. Create an ApplicationIn this task, you create an application that contains the web service.

1. Click File > New > Application .

The New Application dialog box appears.

2. Enter HypoStores_CustDetails for the application name and click Next .

3. Click Add .

The Add Objects dialog box appears.

4. Select HypoStores_CustDetails and click OK .

5. Click Finish .

The Developer tool creates an application that contains the HypoStores_CustDetails web service.

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Task 5. Deploy the ApplicationIn this task, you deploy the application so that a web service client can connect to the web service.

1. In the Object Explorer view, expand Applications in the tutorial project.

2. Right-click the HypoStores_CustDetails application and click Deploy .The Deploy dialog box appears.

3. Click Browse next to the Domain option.

4. Select a domain and click OK .

5. Select the Data Integration Service that you want to deploy the application to.

6. Click Finish .

When the deployment succeeds, the Deploy Completed dialog box appears.

7. Click OK .

After you deploy the applica tion, you can view the WSDL URL in the Admini strator tool.

Creating a Web Service SummaryIn this lesson, you learned that you can define a web service operation from a logical data object. You learned thatyou configure the operation input and operation output based on the data that a web service receives or sends toa web service client. You also learned that you can make the web service available so that a web service clientcan connect to the web service.

You created a web service, validated the operation mapping, and tested the operation mapping to preview the webservice response. You also created an application to contain the web service and deployed the application to aData Integration Service.

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C H A P T E R 7

Lesson 6. Exporting a Mapping toPowerCenter


Exporting a Mapping to PowerCenter Overview, 26

Task 1. Export a Mapping to PowerCenter, 27

Exporting a Mapping to PowerCenter Summary, 27

Exporting a Mapping to PowerCenter OverviewYou can export a mapping that you create in the Developer tool to a PowerCenter repository. Export mappings toPowerCenter to reuse the metadata for physical data integration or to create web services.

Story

You have developed a mapping that provides a single view of Los Angeles and Boston customer data. You want toexport this mapping to PowerCenter so that you can apply version control and load the target data to the centraldata warehouse.

Objectives

In this lesson, you export a Developer tool mapping to a PowerCenter repository.

Prerequisites

Before you start this lesson, verify the following prerequisites:

Complete les sons 1, 2, and 3.

You can connect to the PowerCenter repository that you want to export the Developer mapping to. To get therepository login information, contact a domain administrator.

Timing

Set aside 5 to 10 minutes to complete this task.

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Task 1. Export a Mapping to PowerCenter In this task, you export a mapping that you created in the Developer tool to a PowerCenter repository.


2. Click File > Export .The Export dialog box appears.

3. Select Informatica > PowerCenter .

4. Click Next .

The Export to PowerCenter dialog box appears.

5. Select PowerCenter 9.1.0 as the target release.

6. Select PowerCenter Repository as the export location.

7. Click Browse to connect to a PowerCenter repository.

The Connect to PowerCenter Repository dialog box appears.

8. Enter the connection information and click OK .

The Developer tool displays a message after it connects to the repository.

9. Click OK .

10. Select the repository folder that you want to export the mapping to.

If the repository contains a tutorial folder, select it.

11. Click Next .

The Developer tool prompts you to select the objects to export.

12. Select Customer_Orders and click Finish .

The Developer tool exports the objects to the location you selected.

Exporting a Mapping to PowerCenter SummaryIn this lesson, you learned that you can export Developer tool mappings to PowerCenter. You export mappings toPowerCenter to reuse the metadata for physical data integration or to create web services.

You also exported a mapping to a PowerCenter repository.

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A PowerCenter mapplet can contain source definitions or Input transformations as the mapplet input. It mustcontain Output transformations as the mapplet output.

A Developer tool mapplet can contain data objects or Input transformations as the mapplet input. I t cancontain data objects or Output transformations as the mapplet output. A mapping in the Developer tool alsoincludes the following features:

You can validate a mapplet as a rule. You use a rule in a profile.

A mapplet can contain other mapplets.

What is the difference between a mapplet and a rule?

You can validate a mapplet as a rule. A rule is business logic that defines conditions applied to source datawhen you run a profile. You can validate a mapplet as a rule when the mapplet meets the followingrequirements:

It contains an Input and Output transformation.

The mapplet does not contain active transformations.

It does not specify cardinality between input groups.

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AP P E N D I X B

Glossary

A

application

A deployable object that can contain data objects, mappings, SQL data services , web servi ces, and workflows.

C

cost-based optimization

Optimization method that reduces the run time for mappings that perform join operations. With cost-basedoptimization, the Data Integration Service creates different plans to run a mapping and calculates a cost for eachplan. The Data Integration Service runs the plan with the smallest cost. The Data Integration Service calculatescost based on database statistics, I/O, CPU, network, and memory.

customized data object

A physical data object that uses one or more related rel ational resources or re lational data obj ects as sources .You use a customized data object to perform tasks such as join data from related resources or filter rows.Customized data object uses a single connection and SQL statement for the source tables.

D

Data Integration Service

An applica tion s ervice that performs data in tegrat ion tasks for Informatica Analyst, Informatica Developer, andexternal clients. Data integration tasks include previewing data and running mappings, profiles, SQL data services,web services, and workflows.

data service

A col lecti on of reusable operations that you can run to access and transform data . A data service prov ides aunified model of data you can access through a web service or run an SQL query against.

deploy

To make objects within an application accessible to end users. Depending on the types of objects in theapplication, end users can then run queries against the objects, access web services, run mappings, or runworkflows.


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E

early projection optimization

Optimization method that reduces the amount of data that moves between transformations in the mapping. Withearly projection optimization, the Data Integration Service identifies unused ports and removes the links between

the ports in a mapping.

early selection optimization

Optimization method that reduces the number of rows that pass through the mapping. With early selectionoptimization, the Data Integration Service moves filters closer to the mapping source in the pipeline.

F

folder

A container for objects in the Model Repository . Use folder s to organize obj ects in a projec t and create folders togroup objects based on business needs.

I

Informatica Administrator

Informatica Administrator (the Administrator tool) is an application that consolidates the administrative tasks for domain objects such as services, nodes, licenses, and grids. You manage the domain and the security of thedomain through the Administrator tool.

Informatica Developer

Informatica Developer (the Developer tool) is an application that you use to design data integration solutions. TheModel repository stores the objects that you create in the Developer tool.

Informatica Monitoring Tool

Informatica Monitoring Tool (the Monitoring tool) is an application that provides a direct link to the Monitoring tabof the Administrator tool. The Monitoring tab shows properties, run-time statistics, and run-time reports about theintegration objects that run on a Data Integration Service.

L

logical data object

An obj ect in a logical data object model that descr ibes a logi cal entity in an enterprise. It has attributes, keys , andit describes relationships between attributes.

logical data object mapping

A mapping that l inks a logi cal data object to one or more physica l data objects. It can include t ransformat ion logic.

logical data object model

A data model that contains logical data objects and defines re lationships between them.

logical data object read mapping

A mapping that l inks a logi cal data object to physica l data objects to provide a s ingle view of data from multi plesources without accessing the underlying data sources.

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logical data object write mapping

A mapping that provides a way to write data to targets us ing a logical data obj ect as input.

M

mapping

A set of inputs and outputs l inked by transformation objects that define the rules for data transformation.

mapplet

A reusable object that contains a set of transformations that you can use in mul tiple mappings or validate as a ru le.

Model Repository Service

An applica tion s ervice in the Informat ica domain that runs and manages the Model r eposi tory. The Modelrepository stores metadata created by Informatica products in a relational database to enable collaboration amongthe products.

N

node

A representa tion of a level in the hierarchy of a web service message.

O

operation mapping

A mapping that performs the web service operation for the web servi ce cl ient. An operation mapping can containan Input transformation, an Output transformation, and multiple Fault transformations.

P

physical data object

A physical representation of data that i s used to read from, l ook up, or write to resources.

predicate expression

An express ion that fi lters the data in a mapping. A predicate expression returns t rue or false.

predicate optimization

Optimization method that simplifies or rewrites the predicate expressions in a mapping. With predicateoptimization, the Data Integration Service attempts to apply predicate expressions as early as possible to increasemapping performance.

project

The top-level container to store objects created in Informatica Analyst and Informatica Developer. Create projectsbased on business goals or requirements. Projects appear in both Informatica Analyst and Informatica Developer.

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pushdown optimization

Optimization method that pushes transformation logic to a source or target database. With pushdown optimization,the Data Integration Service translates the transformation logic into SQL queries and sends the SQL queries to thedatabase. The database runs the SQL queries to process the data.

R

result set caching

A cache that contains the results of each SQL data service query or web servi ce request. With resul t set caching,the Data Integration Service returns cached results when users run identical queries. Result set cachingdecreases the run time for identical queries.

S

semi-join optimization

Optimization method that reduces the number of rows extracted from the source. With semi-join optimization, the

Data Integration Service modifies the join operations in a mapping. The Data Integration Service applies the semi- join optimization method to a Joiner t ransformat ion when a l arger input group has rows that do not match a smal ler input group in the join condition. The Data Integration Service reads the rows from the smaller group, finds thematching rows in the larger group, and performs the join operation.

SQL data service

A vir tual database that you can query. I t contains virtual objects and provides a uniform view of data fromdisparate, heterogeneous data sources.

SQL Service Module

The component service in the Data Integration Service that manages SQL queries sent to an SQL data servicefrom a third-party client tool.

T

transformation

A repository obj ect in a mapping that generates, modifi es, or passes data. Each transformation performs adifferent function.

V

virtual data

The information obtained when you query virtual tables or run stored procedures in an SQL data service.

virtual database

An SQL data servi ce tha t you can query. It contains virtual objects and provides a uniform view of data fromdisparate, heterogeneous data sources.

virtual schema

A schema in a v irtual database that defines the database structure.

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virtual stored procedure

A set of procedural or data f low instructions in an SQL data servi ce.

virtual table

A tabl e in a virtual da tabase.

virtual table mapping

A mapping that contains a v irtual table as a target.

virtual view of data

A vir tual database defined by an SQL data service that you can query as if it were a physical database.

W

Web Service Module

A component in the Data Integration Service that manages web service operation reques ts sent to a web servicefrom a web service client.

web service transformation

A transformation that processes web service reques ts or web service responses . Examples of web servi cetransformations include an Input transformation, Output transformation, Fault transformation, and the Web ServiceConsumer transformation.

Documents

Informatica Data Services Getting Started Guide