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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.
In the context of Interfaces, they function as an internal extract, transform, load (ETL) mechanism. For example, this is a metadata crosswalk from MARC standards to Dublin Core : MARC field
Another way that companies use ETL is to move information to another application permanently. For instance, the new application might use another database vendor and most likely a very different database schema. ETL can be used to transform the data into a format suitable for the new application to use.
Update database and/or update model Multi-user collaboration using File, DBMS or Cloud Repository (or transfer via XMI, CVS/TFS or Difference Merge). ER/Studio: Logical, physical, ETL IDEF1X, IE (Crow’s feet) Yes Yes Update database and/or update model
Staging area architectures range in complexity from a set of simple relational tables in a target database to self-contained database instances or file systems. [4] Though the source systems and target systems supported by ETL processes are often relational databases, the staging areas that sit between data sources and targets need not also be ...
The design of forms for automated database testing, form front-end and back-end, is helpful to database maintenance workers. Data load testing: For data load testing, knowledge about source database and destination database is required. Workers check the compatibility between source database and destination database using the DTS package.
Some - can only reverse engineer the entire database at once and drops any user modifications to the diagram (can't "refresh" the diagram to match the database) Forward engineering - the ability to update the database schema with changes made to its entities and relationships via the ER diagram visual designer Yes - can update user-selected ...
Data profiling is the process of examining the data available from an existing information source (e.g. a database or a file) and collecting statistics or informative summaries about that data. [1] The purpose of these statistics may be to: Find out whether existing data can be easily used for other purposes