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Transformation programs are automatically created in SQL, XSLT, Java, or C++. These kinds of graphical tools are found in most ETL (extract, transform, and load) tools as the primary means of entering data maps to support data movement. Examples include SAP BODS and Informatica PowerCenter.
ETL software typically automates the entire process and can be run manually or on recurring schedules either as single jobs or aggregated into a batch of jobs. A properly designed ETL system extracts data from source systems and enforces data type and data validity standards and ensures it conforms structurally to the requirements of the output.
Tool Supported data models (conceptual, logical, physical) Supported notations Forward engineering Reverse engineering Model/database comparison and synchronization
The most significant difference between ISQL and the previous Informix product was the separation of the database access code into an engine process (sqlexec), rather than embedding it directly in the client — thus setting the stage for client-server computing, with the database running on a separate machine from the user's machine.
Flow Software Flow Software Ltd 2.3.0 2010-05 Free Community Edition, and Enterprise licenses No Proprietary: Fuse – Enterprise Camel Red Hat: 7.0 2018 Yes based on Apache Software License: IBM Integration Bus (formerly WebSphere Message Broker) IBM: 10.0 2015-03 [2] Varies between approximately 100 and 850 per Value Unit [3] No Proprietary
Code generation is the process of generating executable code (e.g. SQL, Python, R, or other executable instructions) that will transform the data based on the desired and defined data mapping rules. [4] Typically, the data transformation technologies generate this code [5] based on the definitions or metadata defined by the developers.
Pentaho started out as business intelligence (BI) software developed by the Pentaho Corporation in 2004. It comprises Pentaho Data Integration (PDI) and Pentaho Business Analytics (PBA)]. These provide data integration, OLAP services, reporting, information dashboards, data mining and extract, transform, load (ETL) capabilities.
Data integration, by contrast, is a permanent part of the IT architecture, and is responsible for the way data flows between the various applications and data stores—and is a process rather than a project activity. Standard ETL technologies designed to supply data from operational systems to data warehouses would fit within the latter ...