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Oracle9i OLAP User's Guide
Release 2 (9.2)

Part Number A95295-01
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Creating OLAP Catalog Metadata, 4 of 6


Organization of the OLAP Catalog

The repository for OLAP metadata is known as the OLAP Catalog. This repository is included by default with the Enterprise Edition of the database when installed with either the General Purpose or Data Warehouse configuration.

The OLAP Catalog is one component of Oracle OLAP. The other server-side components are the OLAP calculation engine and support for analytic workspaces. On the client side, Oracle OLAP includes the OLAP API, an API for developing OLAP client applications in Java.

CWM and CWM2

The OLAP Catalog, owned by the OLAPSYS user, contains two distinct metadata repositories each with its own set of APIs:

Both metadata repositories include the following:

CWM2 additionally includes Preprocessors, PL/SQL packages for transforming certain types of warehouse data to a format supported by the CWM2 APIs. Preprocessors are available for data stored in analytic workspaces and for parent/child dimension tables.

Depending on the organization of your warehouse and the needs of OLAP clients, you can use CWM metadata or CWM2 metadata, or some combination of both.


Important:

You cannot create or view CWM2 metadata from Enterprise Manager's OLAP Manager. Conversely, you cannot create CWM metadata using the CWM2 APIs.

However, CWM2 includes a set of union views that allows you to view the OLAP metadata in both the CWM and CWM2 model tables.

A separate set of CWM2 views allows you to view metadata that directly represents objects in analytic workspaces.


Logical Steps for Creating the Metadata

Whether you create OLAP metadata programmatically (CWM2) or by using Oracle Enterprise Manager (CWM), you follow the same logical steps.

To create OLAP metadata:

  1. Create the dimensions. Specify the levels, attributes, and hierarchies associated with each one.
  2. Create cubes and specify their edges (dimensions).
  3. Create measures that represent the fact data. Associate each measure with a cube.
  4. Map the metadata entities to the source data.
  5. Create measure folders in which to store related measures. Populate the folders with measures.

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