Oracle9i OLAP User's Guide Release 2 (9.2.0.2) Part Number A95295-02 |
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The Oracle9i OLAP User's Guide describes how to use Oracle OLAP for business analysis. It introduces the concepts underlying analytical applications and multidimensional querying, and the tools used for application development and system administration.
This preface contains these topics:
This guide is intended for application developers and database administrators who perform the following tasks:
To use this document, you need no prior knowledge of Oracle OLAP.
This document is organized in five parts.
Provides conceptual information of general interest to anyone planning to use Oracle OLAP.
Explains the basics of using Oracle OLAP and related client software for analytical applications.
Provides an overview of data manipulation using the OLAP DML.
Presents the rich development environment and the powerful tools that you can use to create OLAP applications.
Highlights some of the most important data warehousing concepts, and provides additional information that is specific to Oracle OLAP.
Provides an overview of OLAP Catalog metadata and the APIs for working with it.
Provides information for database administrators on administrative tasks associated with Oracle OLAP.
Describes the various administrative tasks that are associated with Oracle OLAP.
Describes the relational views that contain performance data on Oracle OLAP.
Describes the OLAP_API_SESSION_INIT
package, which contains procedures for maintaining a configuration table of initialization parameters.
Describes how to create an analytic workspace from a star schema and OLAP Catalog metadata. Describes how to generate relational views of the workspace data.
Describes how to create materialized views for star schemas that will be used by the OLAP API.
Provides information about SQL packages and procedures that either create relational views of multidimensional data or embed OLAP DML commands in their syntax.
Contains reference information for the DBMS_AW
package, which enables SQL programmers to issue OLAP DML statements against analytic workspace data.
Describes how SQL programmers can use the OLAP_TABLE
function in a SQL SELECT
statement to query multidimensional data in an analytic workspace
Describes the OLAP Catalog views and the PL/SQL packages for creating OLAP Catalog metadata.
Describes how to use the CWM2
PL/SQL packages.
Describes the views of OLAP Catalog metadata.
Describes procedures for creating generic views of data stored in analytic workspaces.
Describes procedures for creating an analytic workspace from relational tables and generating views of the resulting data in the analytic workspace.
Describes procedures for creating, dropping, and locking cubes, for adding dimensions to cubes, and for setting general properties of cubes.
Describes procedures for creating, dropping, and locking dimensions, and for setting general dimension properties.
Describes procedures for creating, dropping, and locking dimension attributes, and for setting general properties of dimension attributes.
Describes procedures for creating, dropping, and locking hierarchies, and for setting general hierarchy properties.
Describes procedures for creating, dropping, and locking levels, for adding levels to hierarchies, and for setting the general properties of levels.
Describes a procedure for creating level attributes, associating them with dimension attributes, and for dropping, locking, and setting the general properties of level attributes.
Describes procedures for creating, dropping, and locking measures, and for setting general properties of measures.
Describes the procedure for refreshing metadata tables for the OLAP API.
Describes the procedure for converting a parent-child dimension table to an embedded-total dimension table.
Describes procedures for mapping OLAP metadata entities to columns in your data warehouse tables or views.
Describes procedures for validating OLAP metadata.
Describes procedures for creating measure folders and populating them with measures.
Explains how to create materialized views for queries for aggregate data from the OLAP API.
Explains how to create materialized views for dimensions.
Explains how to use the DBMS_ODM
package to create fact table materialized views in grouping set form.
Explains how to use OLAP Summary Advisor to create fact table materialized views in concatenated rollup form.
Provides upgrading instructions and identifies some of the major differences between Oracle Express Server 6.3 and Oracle9i OLAP.
For more information, see these Oracle resources:
Many books in the documentation set use the sample schemas of the seed database, which is installed by default when you install Oracle. Refer to Oracle9i Sample Schemas for information on how these schemas were created and how you can use them yourself.
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