Oracle Data Integration provides a fully unified solution for building, deploying, and managing real-time data-centric architectures in an SOA, BI, and data warehouse environment. In addition, it combines all the elements of data integration—real-time data movement, transformation, synchronization, data quality, data management, and data services—to ensure that information is timely, accurate, and consistent across complex systems.By using Oracle Data Integration, organizations have reduced their development costs by 30%, improved the speed of handling data by 50%, and reduced business process execution times by at least 70%. These cost savings and efficiency gains are critical to leverage in today's challenging global economic climate.
Oracle Enterprise Data Quality provides a comprehensive data quality management environment, used to understand, improve, protect and govern data quality. The software facilitates best practice Master Data Management, Data Integration, Business Intelligence and data migration initiatives, as well as providing integrated data quality in CRM and other applications.
Oracle Enterprise Metadata Management (OEMM) is a comprehensive metadata management platform. OEMM can harvest and catalog metadata from virtually any metadata provider, including relational, Hadoop, ETL, BI, data modeling, and many more. OEMM however is not just a metadata repository, OEMM allows for interactive searching and browsing of the metadata as well as providing data lineage, impact analysis, semantic definition and semantic usage analysis for any metadata asset within the catalog. OEMM's advanced algorithms stitch together metadata from each of the providers providing the complete path of data from source to report or vice versa. OEMM supports virtually any metadata provider including: Data modeling tools, databases, CASE tools, Hadoop, ETL engines, Warehouses, BI, EAI environments, as well as many more.
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