![]() Data Dictionary is a set of important information about data used within an organization (metadata). Finally, this version introduces the backup utility plugin, which implements a simple, user-friendly interface for the commands pg_dump, pg_dumpall, pg_restore, and psql. List of tools that enable design and building of data dictionaries. In the SQL execution widget, when pasting SQL code coming from external IDEs, pgModeler will try to remove unneeded string concatenation characters in the clipboard text before inserting it in the input field. The SQL execution widget and data manipulation form now support data exporting to CSV format besides the classic plain text format. In general settings, the database object shadows can be deactivated improving the rendering speed. ![]() dbm files directly to the tool's main window to load models. One of them is the ability to drag & drop. Many other UI improvements were made attending to the users' requests. Also, pgModeler is now able to follow the system's color schema. With either database, its possible to override these. This data dictionary information from PgDD is made available using standard SQL by querying a small set of views. It is one of the best data modelling tools that helps you to create the actual database from the physical model. The long-awaited code completion based on living database object names is now implemented in the tool. Oracle stores metadata in its data dictionary in uppercase, and PostgreSQL stores it in lowercase. Erwin is a data modeling tool which is used to create logical, physical, and conceptual data models. ![]() After five months of development, the first alpha release for pgModeler 1.1.0 is finally ready and brings some significant improvements compared to 1.0.x. ![]()
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