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Oracle Data Integrator (ODI) is an extract, load, transform (ELT) tool (in contrast with the ETL common approach) produced by Oracle that offers a graphical environment to build, manage and maintain data integration processes in business intelligence systems.
Oracle Warehouse Builder was built from the ground up in Oracle, it was first released in January 2000 (release 2.0.4). The 3i release significantly enhanced the ETL mapping designer, then 9i in 2003 introduced the mapping debugger, process flow editing, integrated match/merging and name/address cleansing, multi-table insert, scripting, RAC certification to name a few.
Java Composite Application Platform Suite (Java CAPS) is a standards-based enterprise service bus software suite from Oracle Corporation.The suite has several components that help to integrate existing applications and deliver new business services in a service-oriented architecture environment.
Data Integrator can refer to software used to integrate data, or to a person or company who integrates data: Pervasive Data Integrator, software; SAP BusinessObjects Data Integrator, software; Oracle Data Integrator, software; EDI, EZMID Data Integrator, software; Systems integrator, person or company
The product includes an open-source distribution of Apache Hadoop.Support from Cloudera was announced in January 2012. [4]The Oracle NoSQL Database, Oracle Data Integrator with an adapter for Hadoop Oracle Loader for Hadoop, an open source distribution of R, Oracle Linux, and Oracle Java Hotspot Virtual Machine were also mentioned in the announcement.
Oracle Database (commonly referred to as Oracle DBMS, Oracle Autonomous Database, or simply as Oracle) is a proprietary multi-model [4] database management system produced and marketed by Oracle Corporation. It is a database commonly used for running online transaction processing (OLTP), data warehousing (DW) and mixed (OLTP & DW) database ...
Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).
Oracle Big Data SQL is a common SQL access layer to data stored in Hadoop, HDFS, Hive and OND. This allows customers to query Oracle NoSQL Data from Hive or Oracle Database. Users can run MapReduce jobs against data stored in OND that is configured for secure access. The latest release also supports both primitive and complex data types