1 Introduction

Oracle DataLens Server is built on industry-leading DataLens™ Technology to standardize, match, enrich, and correct product data from different sources and systems. The core DataLens Technology uses patented semantic technology designed from the ground up to tackle the extreme variability typical of product data.

Oracle Enterprise Data Quality for Product Data, formerly Oracle Product Data Quality, uses three core DataLens Technology modules: Governance Studio, Knowledge Studio, and Application Studio. The following figure illustrates the process flow of these modules.

The Oracle DataLens Server can be configured to run with multiple servers:

• Oracle DataLens Administration Server

• Oracle DataLens Transform Server

The administration of all servers in a multi-server configuration is controlled with the Oracle DataLens Administration Server. The purpose of the Administration Server is to manage the various administrative tasks of the servers for the server groups (referred to as Transform Servers) and can itself serve as its own Transform Server when installed alone in a single node configuration. By spreading the data processing load across multiple servers the Oracle DataLens Server system provides scalability and configuration control over the various functional areas involved in developing, testing, and ultimately executing Oracle DataLens jobs.

The type of Oracle DataLens Server Group that a Transform Server belongs to controls the individual server functionality. A server group may contain one or many physical servers. There are three server groups:

• Development Server Group

• Production Server Group

• Quality Assurance Server Group

The Server Groups contain individual Oracle DataLens Servers on physical machines that can load balance among servers within the group. The data lenses and DataLens Service Applications (DSAs) are deployed from one group to the next beginning with the development group, then migrating to the Quality Assurance Group for testing before arriving in the Production Group for deployment to production. This multiple group migration function facilitates an enterprise business process where multiple functional areas work on data lens objects in stages before releasing them to production.

The integration of Oracle R12 Product Information Management (PIM) and Enterprise DQ for Product (EDQP) adds a package called the "R12 PIM Connector" to the Enterprise DQ for Product solution upload package.