For an example and additional information on importing data objects, see "Identifying Data Sources and Importing Metadata".
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Before continuing to the next step, consider using the data profiling option to ensure data quality as described in "Understanding Data Quality Management". Data can only be transformed into actionable information when you are confident of its reliability. Before you load data into your target system, you must first understand the structure and the meaning of your data, and then assess the quality.
Consider using the data profiling option to better understand the quality of your source data. Next, correct the source data and establish a means to detect and correct errors that may arise in future loads. For more information, on data profiling and data quality, see "Understanding Data Quality Management". In previous steps, you may have already imported existing target objects. For new target objects, design any of the dimensional or relational objects listed in Table To create data objects, you can either start the appropriate wizard or use the Data Object Editor.
To use a wizard, right-click the node for the desired object and select New. After using a wizard, you may want to modify the object in the editor.
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In that case, right-click the object and select Open Editor. For additional information, see "Designing the Target Schema". You can validate objects as you create them, or validate a group of objects together. In the Project Explorer, select one or more objects or modules, then click the Validate icon.
Examine the messages in the Validation Results window. Correct any errors and try validating again. To redisplay the most recent validation results at a later time, select Validation Messages from the View menu. For additional information, see "Validating Data Objects". Configuring data objects sets the physical properties of the object.
You must not generate and deploy data objects without specifying the physical property values. When you create data objects, Warehouse Builder assigns default configuration property values based on the type of object. In most cases, these default values are appropriate. You can edit and modify the configuration property values of objects according to your requirement.
Introduction to Oracle Warehouse Builder
For example, you configure a table to specify the name of the tablespace in which it is created. To configure a data object, select the data object in the Project Explorer and click the Configure icon. Or right-click the data object in the Project Explorer and select Configure. For more information about generation, see "Generating Data Objects". In the Data Object Editor, you can generate code for a single object by clicking the Generate icon.
In the Project Explorer, select one or more objects or modules, then click the Generate icon. Examine the messages in the Generation Results window. To redisplay the most recent generation results at a later time, select Generated Scripts from the View menu.
In the Project Explorer, expand the Oracle target module, right-click the Mappings node and select New. The Mapping Editor enables you to define the flow of data visually. You can drag-and-drop operators onto the canvas, and draw lines that connect the operators. Operators represent both data objects and functions such as filtering, aggregating, and so on. Follow the Instructions for Defining Mappings , concluding with generating the code for the mapping. To manage dependencies between mappings, see "Designing Process Flows".
Recall that deployment is the process of copying the relevant metadata and code you generated in the Design Center to a target schema.
This step is necessary to enable the target schema to execute ETL logic such as mappings. The simplest approach is to deploy directly from the Design Center by selecting an object and clicking the Deploy icon. In this case, Warehouse Builder deploys the objects with the default deployment settings. Alternatively, if you want more control and feedback on how Warehouse Builder deploys objects, from the Design Center menu select Tools , then Control Center Manager.
Implementing a Data Integration Solution
Whether you deploy objects from the Design Center or the Control Center Manager, be sure to deploy all associated objects. For example, when deploying a mapping, also deploy the target data objects such as tables that you defined and any associated process flows or other mappings. In this step, you move data for the first time. Repeat this step each time you want to refresh the target with new data. You have two options for executing the ETL logic in mappings and process flows. You can create and deploy a schedule as described in "Process for Defining and Using Schedules".
It is essential to ensure the quality of data entering your data warehouse over time. Data auditors enable you to monitor the quality of incoming data by validating incoming data against a set of data rules and determining if the data confirms to the business rules defined for your data warehouse. The Design Center Logon window appears. By default, Connection details option is selected. If you cannot see Connection details option, click Show Details. The Design Center appears. The Design Center is divided into three panels: The Project Explorer on the left side contains two projects: A project is a container to manage your design work.
After you create a project, you can create all the other Warehouse Builder objects. Warehouse Builder contains wizards, object editors, property sheets, and object finding tools that assist you in designing your business intelligence system. Various object types appear in the tree: Databases, Files, Applications, Data Profiles, and so on. Expand the Databases node, and you see various object types that can be included in design of your warehouse: Oracle databases, non-Oracle databases, and transportable modules.
Expand the Oracle node, and you see two modules predefined by the setup scripts: Modules are logical groupings of source or target definitions. The various object types appear in the tree: Expand some of these nodes to see the objects that have been predefined by the setup scripts. Place the cursor over this icon to hide all screenshots. Home Skip to Content Skip to Search. Oracle Account Manage your account and access personalized content.
Sign in Create an account Help. Cloud Account Access your cloud dashboard, manage orders, and more. Oracle Technology Network testcontent. Time to Complete Approximately 30 minutes Note: Topics This lesson discusses the following: Overview In this lesson, you learn how to download and execute the setup files to configure the Warehouse Builder environment.
Completed the installation of Oracle Warehouse Builder 11 g Release 1. Warehouse Builder is now packaged differently and comprised of four components as follows: The core features that are provided free represent the functionality provided by the current 10 g Release 1 version of Warehouse Builder with the addition of "Experts" feature.
Some of the features included in this option are slowly changing dimensions type 2 and 3 support, transportable tablespaces, interactive lineage and impact analysis and user-defined objects.
The aim of the Data Quality Option is to support the transformation of data into quality information on an ongoing basis. The following connectors are available: Back to Topic List Reference Material The following is a list of useful reference materials if you want additional information about the topics in this module: Oracle Warehouse Builder 11 g Release 1: Implementation Part 2 2 day Visit the Oracle University website , if you want to enroll for this course.
Back to Topic List Warehouse Builder 11 g Architecture and Components Oracle Warehouse Builder is an information integration tool that leverages the Oracle Database to transform data into high-quality information. Target Schema The target schema is the target to which you load your data and the data objects that you designed in the Design Center such as cubes, dimensions, views, and mappings. Warehouse Builder Repository The repository schema stores metadata definitions for all the sources, targets, and ETL processes that constitute your design metadata. About Workspaces In defining the repository, you create one or more workspaces, with each workspace corresponding to a set of users working on related projects.
Repository Browser The Repository Browser is a web browser interface for reporting on the repository.
Back to Topic List Setting Up the Project Environment In order to partially prepopulate your repository for this course, perform the following steps: For example, type the following command at the command prompt: Your response should appear somewhat like the following example: Oracle 10g, Oracle 11g. This property may already be present. The Design Center Logon screen appears. In the Database Information window, enter the following values: In the DBA Information window, enter the following values: User Name system Password oracle Click Next. In the Workspace Owner New window, enter the following values: In the Create New Database User window, enter the following values: In the Summary window, examine the information and click Finish.
An Installation Progress window appears. If you wish to import the optional dmp file, enter the following command at the DOS command prompt: Examine the menu choices: Back to Topic List Summary In this module, you should have learned how to: Warehouse Builder provides an extensive library of data transformations for data types such as text, numeric, date, and others. Use these transformations to reconcile the data from many different sources as described in "Data Transformation".
Before loading data into a new data store, you can optionally profile the data to evaluate its quality and appropriateness. Subsequently, you can match and merge records using rules that you devise. You can validate name and address data against postal databases.
This process of changing poor quality data into high quality information is introduced in "About the Data Quality Management Process". Using Warehouse Builder, you can design and implement any data store required by your applications, whether relational or dimensional.
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The process of designing your data store is described in "Designing Target Schemas". After consolidating data from a variety of sources into a single data store, you are likely to face the challenge of verifying the validity of the output information. For instance, can you track and verify how a particular number was derived?