Oracle Data Integrator is Oracle’s strategic data integration tool within Oracle Fusion Middleware, and is used to provide bulk data movement, integration and transformation between relational, multi-dimensional, file and XML, application and service-based data sources.

Used as the embedded data integration tool within Oracle’s BI Applications and Hyperion Performance Management tools, Oracle Data Integrator leverages the integration capabilities of the Oracle and other databases to transform and load data using an innovative Extract, Load and Transform (ELT) approach. With no dependency on the Oracle database and with a service-orientated architecture approach, Oracle Data Integrator is typically used by organizations who wish to integrate data across multiple heterogeneous sources.
Consulting Services
Rittman Mead offer consulting services for Oracle Data Integrator, either as part of a data warehouse implementation, as part of an Oracle BI Applications deployment or as a standalone technology for middleware integration. We work with your team to define your integration strategy, help you configure and install the various Data Integrator components and then provide skills transfer for your team so that you can take your deployment forward after the initial implementation.
Licensing and Support
Oracle Data Integrator can either be licensed standalone, or as part of Oracle BI Enterprise Edition or the Oracle BI Applications. We can also provide licensing for the Data Quality options to Oracle Data Integrator, as well as Oracle’s wider data integration and master data management technologies through Oracle Data Integration Suite. We also provide support and upgrade assurance through Oracle Corporation and Rittman Mead’s own support services.
Further Information
- Read our blog posts on Oracle Data Integrator
- An Introduction to Real-Time Data Integration using Oracle Data Integrator (OTN)
- Oracle Data Integrator for OWB Developers (ODTUG Kaleidoscope 2007)
- An Introduction to Oracle Data Integrator (OUG Scotland BI Tech Day, March 2007)