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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.
Business Objects's Data Integrator is a data integration and ETL tool that was previously known as ActaWorks. Newer versions of the software include data quality features and are named SAP BODS (BusinessObjects Data Services). The Data Integrator product consists primarily of a Data Integrator Job Server and the Data Integrator Designer.
Oracle provides both graphical user interface (GUI) and command-line (CLI) tools for managing Data Guard configurations. Data Guard supports both physical standby and logical standby sites. Oracle Corporation makes Data Guard available only as a bundled feature included within its "Enterprise Edition" of the Oracle RDBMS .
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
The Oracle Certified Associate (OCA) credential is the first step toward achieving an Oracle Certified Professional certification. The OCA credential ensures a candidate is equipped with fundamental skills, providing a strong foundation for supporting Oracle products.
Oracle Data Mining (ODM) is an option of Oracle Database Enterprise Edition. It contains several data mining and data analysis algorithms for classification, prediction, regression, associations, feature selection, anomaly detection, feature extraction, and specialized analytics.
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.
Data loading, or simply loading, is a part of data processing where data is moved between two systems so that it ends up in a staging area on the target system. With the traditional extract, transform and load (ETL) method, the load job is the last step, and the data that is loaded has already been transformed.