To build, manage, and maintain data integration systems for businesses has always been a challenge. Since data integration systems are an essential part of the business intelligence functionality of an enterprise, a tool that solves all data integration requirements is high on the wish list of most developers and businesses alike.
The Oracle Data Integrator commonly known as ODI is today a popular data integration platform that offers coverage of almost all data integration requirements including management of high volume data. Available on the cloud as Oracle Data Integrator Cloud, ODI operates as a high performance ETL tool with less reliance of high data movement making it best suited for the cloud.
With enterprises adopting cloud based technologies and systems to reduce their hardware costs and increase security layers the use of Oracle Data Integrator Cloud underlines why it is today one of the most popular data integration and data processing service.
An overview of Oracle Data Integrator (ODI)
Oracle Data Integrator as a data integration tool traces its history to 2006 when it was acquired by Oracle from a French data integration enterprise known as Synopsis. Based on the E-LT mappings for data instead of the traditional ETL used by many data integrators of the time including Oracle’s very own Oracle Warehouse Builder (OWB), ODI is today a popular data integration tool.
Oracle Data Integrator Cloud and data integration advantages
Oracle Data Integrator Cloud is intelligently designed to ensure all data integration challenges faced by traditional tools are now a thing of the past.
Leveraging the power of E-LT architecture
Oracle Data Integrator cloud offers enhanced functionality thanks to the use of its E-LT architecture compared to simple ETL architecture of traditional data integrators. In traditional tools with ETL, data is first copied from source system and moved to a staging area. Then the data is transformed as per induced calculations and finally loaded in the warehouse from the staging area. E-LT offers a more proactive approach as instead of transforming the data before writing it, the data is first copied to the target and then transformed in its place using a transformation engine. The Oracle Data Integrator Cloud architecture makes use of the target data source to execute any required transformations to the data. This allows effective savings of Oracle database leading to faster transformation of data.
Availability of various knowledge modules
Unlike traditional data integration tools, Oracle Data Integrator cloud makes use of knowledge modules or KMs allowing input of metadata offering executable code at runtime. For example, if an enterprise is looking to change from an ‘insert only’ mechanism to ‘insert and update’ of data, Oracle Data Integrator cloud allows for an instant switching using the appropriate knowledge module. What’s more, enterprises can create custom knowledge modules as per their needs to make the best use of Oracle Data Integrator cloud.
Fast and responsive data movement
Oracle Data Integrator Cloud offers the advantage of offering a seamless data integration for the enterprise. The use of E-LT architecture and the cloud based functionality together ensure low network traffic that is able to offer a peak performance every time. Such a reduced network traffic environment ensures not only that the data integration works are done at a faster pace, it also helps improve productivity and lower any associated developmental costs.
Enhanced security layer with data quality firewall
Oracle Data Integrator cloud makes sure that all security aspects are checked with the cloud functionality of the data integration offering. Oracle Data Integrator cloud comes with an inbuilt data quality firewall. This ensures that any faulty data is recycled before it gets inserted in the target application. The real benefit of such an inbuilt data quality firewall in the Oracle Data Integrator cloud is that it does not need any additional programming costs for the enterprise. The data quality firewall is fully customized as it follows the data integrity rules and guidelines as defined in the ODI or target application.