Data Modeller launched to allow enterprise database users to model data, validate data or edit and compare data and definitions
Released on = March 8, 2007, 3:57 am
Press Release Author = Grid-Tools
Industry = Software
Press Release Summary = Data Modeller provides powerful multi-function SQL Window that allows users to intelligently browse data and manage all database objects across all database schemas
Oxford, UK - Grid-Tools Limited, a leading vendor of test data management software introduces Data Modeller for rapid validation, editing and comparison of data and definitions. Whether organisations work with one or many databases, data modeller allows them to control objects (such as tables, indexes and constraints) as well as grab, edit and manage their data from one simple to use window.
For more information, please visit: www.grid-tools.com/datamodeller.html or call 0871 309 8293.
Press Release Body = Supported by all major databases and ODBC data sources
Data Modeller supports all major databases and ODBC data sources, and can be installed in a matter of minutes helping to save organisations hours of development time. Whether organisations work with one or many databases, it allows them to control objects (such as tables, indexes and constraints) as well as grab, edit and manage their data from one simple to use window
"Data Modeller allows users to produce a data model showing how all their data is related," explains Huw Price, Director of Grid-Tools. Data Modeller controls indexes, tables and constraints, as well as allowing users to edit their data, through one interface. "The power of Data Modeller lies in its ability to validate and compare relationships and data," says Huw. "Users can check that data matches the model and monitor data quality, as well as identify differences and changes to data that occur during testing across multiple versions."
Data Modeller models, validates, edits and compares database data and definitions, to build up a picture of how database tables link together with rapid discovery techniques such as database constraints, naming standards, scanning table joins and output from case tools. Data Modeller enables users to extract and store production data characteristics, including lists of values, maximums, minimums and data ranges. A powerful multi-function SQL Window allows users to intelligently browse data and manage all database objects across all database schemas. Data can be saved, copied and edited in spreadsheet format; in addition Data Modeller writes, stores and runs SQL files, creates parameters for standard SQL queries, as well as retrieves, edits and compiles procedural SQL.