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Informatica Data Services (Version 9.5.1)

Getting Started Guide

Informatica Data Services Getting Started Guide

Version 9.5.1December 2012

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Table of Contents

Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iiiInformatica Resources. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii

Informatica Customer Portal. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii

Informatica Documentation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii

Informatica Web Site. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii

Informatica How-To Library. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii

Informatica Knowledge Base. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv

Informatica Multimedia Knowledge Base. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv

Informatica Global Customer Support. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv

Chapter 1: Getting Started Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1Informatica Data Services Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

Informatica Developer Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2

Informatica Developer Welcome Page. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

Cheat Sheets. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

The Tutorial Story. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

Tutorial Prerequisites. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

Chapter 2: Lesson 1. Setting Up Informatica Developer. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5Setting 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

Chapter 3: Lesson 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: Lesson 3. Creating a Logical View of Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12Creating a Logical View of Data Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

Task 1. Import a Logical Data Object Model. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13

Task 2. Create a Logical Data Object Mapping. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

Table of Contents i

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 Virtual View of Data Summary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

Chapter 6: Lesson 5. Creating a Web Service. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22Creating 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

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

Task 1. Export a Mapping to PowerCenter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

Exporting a Mapping to PowerCenter Summary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

Appendix A: Frequently Asked Questions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28Informatica Developer Frequently Asked Questions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28

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

ii Table of Contents

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 PortalAs an Informatica customer, you can access the Informatica Customer Portal site at http://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 partnerinformation. The services area of the site includes important information about technical support, training andeducation, and implementation services.

Informatica How-To LibraryAs an Informatica customer, you can access the Informatica How-To Library at http://mysupport.informatica.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.

iii

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Informatica Knowledge BaseAs an Informatica customer, you can access the Informatica 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. Ifyou have questions, comments, or ideas about the Knowledge Base, contact the Informatica Knowledge Baseteam through email at [email protected].

Informatica Multimedia Knowledge BaseAs an Informatica customer, you can access the Informatica Multimedia Knowledge Base at http://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 [email protected].

Informatica Global Customer SupportYou 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.

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iv Preface






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 views to store retired data in a different format from data on the productiondatabase.

¨ Create an SQL 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 canrun 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 dataintegration 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.

1

¨ 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 Developertool.

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:

2 Chapter 1: Getting Started Overview

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 results. 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.

Informatica Developer Overview 3

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 forproviding 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:

<Informatica Installation Directory>\clients\DeveloperClient\Tutorials¨ You can find the tutorial files in the following location in the services installation path:

<Informatica Installation Directory>\server\TutorialsYou need the following files for the tutorial lessons:

¨ All_Customers.csv

¨ Boston_Customers.csv

¨ Customer_Order.xsd

¨ LA_customers.csv

4 Chapter 1: Getting Started Overview

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 Informatica Developer 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 and services that define the Informatica environment. Services inthe domain include the Model Repository Service and the Data Integration Service.

The Model Repository Service manages the Model repository. The Model repository is a relational database thatstores the metadata for projects that you create in the Developer 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 project.

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

5

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

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

PrerequisitesBefore 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 Service.

¨ The Data Integration Service is running.

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

Task 1. Start Informatica DeveloperStart 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.

6 Chapter 2: Lesson 1. Setting Up Informatica Developer

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 FolderIn 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.

Task 3. Add a Model Repository 7

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.

8 Chapter 2: Lesson 1. Setting Up Informatica Developer

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 OverviewA physical data object is a representation of data based on a flat file or relational 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.

StoryHypoStores 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.

ObjectivesIn 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.

PrerequisitesBefore you start this lesson, verify the following prerequisite:

¨ You have completed lesson 1 in this tutorial.


9

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: <Informatica InstallationDirectory>\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: <InformaticaInstallation Directory>\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.


10 Chapter 3: Lesson 2. Importing Physical Data Objects

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: <Informatica InstallationDirectory>\clients\DeveloperClient\Tutorials

6. 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: <InformaticaInstallation Directory>\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.

Importing Physical Data Objects Summary 11

C H A P T E R 4

Lesson 3. Creating a Logical Viewof Data


¨ Creating a Logical View of Data Overview, 12

¨ Task 1. Import a Logical Data Object Model, 13

¨ Task 2. Create a Logical Data Object Mapping, 14

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

¨ Creating a Logical View of Data Summary, 17

Creating a Logical View of Data OverviewA logical view of data is a data model in an enterprise. It provides a single view of physical data in an enterprise,even if the data comes from various sources, such as different files or databases.

To develop a single view of data, you need to define a logical data object model. A logical data object modeldescribes the structure and use of data in an enterprise. A logical data object model also describes how differenttypes of data are related to each other. For example, a logical data object model can describe how customer dataand order data are formatted and structured and how they are related.

A logical data object model contains logical data objects. A logical data object defines a data entity in anenterprise, such as a customer or an order. It describes the attributes of the entity, such as name and address in acustomer data object. It also describes key relationships of those attributes to attributes in other logical dataobjects. For example, it can define a relationship between the order ID in an order logical data object and thecustomer ID of a customer logical data object. Therefore, the model states that in an enterprise, each order IDmust be associated with a customer ID.

A logical data object mapping contains a logical data object as the mapping input or output. You can use a logicaldata object read mapping to read data from multiple sources and apply the output to a logical data object. Themapping can also contain transformation logic to transform the data.

12

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

StoryHypoStores 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 customerdata from the Boston office to conform to the data model.


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. Themapping 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.


¨ Complete lessons 1 and 2 in this tutorial.

TimingSet 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.


Task 1. Import a Logical Data Object Model 13

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: <Informatica Installation 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.

14 Chapter 4: Lesson 3. Creating a Logical View of Data

7. Click Finish.

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


Step 2. Add Sources to the MappingAdd the LA_Customers and Boston_Customers data objects 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 MappingAdd an Expression transformation to concatenate the FirstName and LastName columns of the Boston customerdata. Preview the transformation output.

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

An Expression transformation 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 port 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.


Task 2. Create a Logical Data Object Mapping 15


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 MappingAdd a Union transformation to combine the source data.

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

A Union transformation appears in 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 ofthe 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.

16 Chapter 4: Lesson 3. Creating a Logical View of Data

After the Data Integration Service runs the mapping, the Developer tool shows the data in the Output section ofthe 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 customeror 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

Creating a Logical View of Data Summary 17

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 OverviewA virtual view of data is a virtual database that you can query as if it were a physical 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 table mapping that links a virtual table to source data anddefines the data flow between the sources and the virtual table.

After you create an SQL data service, you create an application and add the SQL data service to the application.An application is an object that contains one or more SQL data services and mappings. You can deploy theapplication to a Data Integration Service to make the virtual database available for end users to query.

18

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

StoryHypoStores 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.


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.


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


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.

Task 1. Create an SQL Data Service 19

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 customers4. 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.

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

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.

Task 4. Deploy the Application 21

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 OverviewA web service provides access to data integration functionality 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 create a web service, you create an application and add the web service 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.

StoryHypostores 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 developer in the IT department has a logical data object for customer data. The developer hascombined the data for the Los Angeles and Boston customer offices in a logical data object mapping.

The developer can create a web service that accepts 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.


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

2. View and validate the operation mapping.

22

3. Test the operation mapping.

4. Create an application that contains the web service.

5. Deploy the application to a Data Integration Service.


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

TimingSet 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. Youuse 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 selectCustomer.

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.

Task 1. Create a Web Service 23

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 customerdetails in the output. In the Data Viewer view, you can enter a SOAP request in the Input window and view theSOAP 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.

24 Chapter 6: Lesson 5. Creating a Web Service

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 application, you can view the WSDL URL in the Administrator 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.

Task 5. Deploy the Application 25

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.

StoryYou 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.

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

PrerequisitesBefore you start this lesson, verify the following prerequisites:

¨ Complete lessons 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.

TimingSet aside 5 to 10 minutes to complete this task.

26

Task 1. Export a Mapping to PowerCenterIn 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.

Task 1. Export a Mapping to PowerCenter 27

A P P E N D I X A

Frequently Asked QuestionsThis appendix includes the following topic:

¨ Informatica Developer Frequently Asked Questions, 28

Informatica Developer Frequently Asked QuestionsReview the frequently asked questions to answer questions you may have about Informatica Developer.

What is the difference between a source and target in PowerCenter and a physical data object in the Developer tool?

In PowerCenter, you create a source definition to include as a mapping source. You create a target definitionto include as a mapping target. In the Developer tool, you create a physical data object that you can use as amapping source or target.

What is the difference between a mapping in the Developer tool and a mapping in PowerCenter?

A PowerCenter mapping specifies how to move data between sources and targets. A Developer tool mappingspecifies how to move data between the mapping input and output.

A PowerCenter mapping must include one or more source definitions, source qualifiers, and target definitions.A PowerCenter mapping can also include shortcuts, transformations, and mapplets.

A Developer tool mapping must include mapping input and output. A Developer tool mapping can also includetransformations and mapplets.

The Developer tool has the following types of mappings:

¨ Mapping that moves data between sources and targets. This type of mapping differs from a PowerCentermapping only in that it cannot use shortcuts and does not use a source qualifier.

¨ Logical data object mapping. A mapping in a logical data object model. A logical data object mapping cancontain a logical data object as the mapping input and a data object as the mapping output. Or, it cancontain one or more physical data objects as the mapping input and logical data object as the mappingoutput.

¨ Virtual table mapping. A mapping in an SQL data service. It contains a data object as the mapping inputand a virtual table as the mapping output.

¨ Virtual stored procedure mapping. Defines a set of business logic in an SQL data service. It contains anInput Parameter transformation or physical data object as the mapping input and an Output Parametertransformation or physical data object as the mapping output.

What is the difference between a mapplet in PowerCenter and a mapplet in the Developer tool?

A mapplet in PowerCenter and in the Developer tool is a reusable object that contains a set oftransformations. You can reuse the transformation logic in multiple mappings.

28

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. It 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.

Informatica Developer Frequently Asked Questions 29

A P P E N D I X B

GlossaryA

applicationA deployable object that can contain data objects, mappings, SQL data services, web services, and workflows.

C

cost-based optimizationOptimization 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 objectA physical data object that uses one or more related relational resources or relational data objects 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 ServiceAn application service that performs data integration 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 serviceA collection of reusable operations that you can run to access and transform data. A data service provides aunified model of data you can access through a web service or run an SQL query against.

deployTo 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.

E

early projection optimizationOptimization 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 betweenthe ports in a mapping.

early selection optimizationOptimization 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

folderA container for objects in the Model Repository. Use folders to organize objects in a project and create folders togroup objects based on business needs.

I

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

Informatica DeveloperInformatica 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 ToolInformatica 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 objectAn object in a logical data object model that describes a logical entity in an enterprise. It has attributes, keys, andit describes relationships between attributes.

logical data object mappingA mapping that links a logical data object to one or more physical data objects. It can include transformation logic.

logical data object modelA data model that contains logical data objects and defines relationships between them.

logical data object read mappingA mapping that links a logical data object to physical data objects to provide a single view of data from multiplesources without accessing the underlying data sources.

Appendix B: Glossary 31

logical data object write mappingA mapping that provides a way to write data to targets using a logical data object as input.

M

mappingA set of inputs and outputs linked by transformation objects that define the rules for data transformation.

mappletA reusable object that contains a set of transformations that you can use in multiple mappings or validate as a rule.

Model Repository ServiceAn application service in the Informatica domain that runs and manages the Model repository. The Modelrepository stores metadata created by Informatica products in a relational database to enable collaboration amongthe products.

N

nodeA representation of a level in the hierarchy of a web service message.

O

operation mappingA mapping that performs the web service operation for the web service client. An operation mapping can containan Input transformation, an Output transformation, and multiple Fault transformations.

P

physical data objectA physical representation of data that is used to read from, look up, or write to resources.

predicate expressionAn expression that filters the data in a mapping. A predicate expression returns true or false.

predicate optimizationOptimization 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.

projectThe 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.

32 Glossary

pushdown optimizationOptimization 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 cachingA cache that contains the results of each SQL data service query or web service request. With result 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 optimizationOptimization method that reduces the number of rows extracted from the source. With semi-join optimization, theData Integration Service modifies the join operations in a mapping. The Data Integration Service applies the semi-join optimization method to a Joiner transformation when a larger input group has rows that do not match a smallerinput 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 serviceA virtual database that you can query. It contains virtual objects and provides a uniform view of data fromdisparate, heterogeneous data sources.

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

T

transformationA repository object in a mapping that generates, modifies, or passes data. Each transformation performs adifferent function.

V

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

virtual databaseAn SQL data service that you can query. It contains virtual objects and provides a uniform view of data fromdisparate, heterogeneous data sources.

virtual schemaA schema in a virtual database that defines the database structure.

Appendix B: Glossary 33

virtual stored procedureA set of procedural or data flow instructions in an SQL data service.

virtual tableA table in a virtual database.

virtual table mappingA mapping that contains a virtual table as a target.

virtual view of dataA virtual database defined by an SQL data service that you can query as if it were a physical database.

W

Web Service ModuleA component in the Data Integration Service that manages web service operation requests sent to a web servicefrom a web service client.

web service transformationA transformation that processes web service requests or web service responses. Examples of web servicetransformations include an Input transformation, Output transformation, Fault transformation, and the Web ServiceConsumer transformation.

34 Glossary

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