Virtual Data Viewer Solution for implementing any type of data migration, management, integration or similar data initiative
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Virtual Data Viewer Tags

database Migration data management schema data migration Data Migration Manager data management client mobile data integration as-you-type integration data type integration solution data integration business data type archive data type geometry data type migration data analyzer migration data analysis data migration management data type sort data integration service data file integration unlock database schema audit metadata initiative

Virtual Data Viewer Description

Virtual Data Viewer is a professional application that unlocks any database schema and exposes the organizational structure of database applications, thus enabling users to review and audit all metadata within just a few minutes. Virtual Data Viewer simplifies and speeds up the process of planning and implementing a wide variety of data management initiatives: · Business intelligence (BI) use. BI users can benefit from Virtual Data Viewer by employing it to convert all data from relational and object sources to an object hierarchy for easy viewing. As a result, users save up to 90 percent of the setup time normally required to identify key data elements before developing a BI strategy. · Relational database applications. Virtual Data Viewer reveals all the tables and all their respective column identities (field names) in relational database applications, whether they are proprietary, custom or another type. This information lets users compare the database structures of different applications side by side. For example, comparing fields such as customer name in two different applications reveals any differences in how the data is stored. · Master data management (MDM). Considerable planning is required before existing data models can be prepared for use in master data management system. With Virtual Data Viewer, users can quickly and easily understand their various existing data models, reducing the time and complexity of integration into an MDM system. · Data migration. A review of data sets and structures is useful when migrating data, particularly when leaving old, proprietary systems. · Data warehousing. With the new Virtual Data Viewer it is far quicker and easier to perform the necessary review of the various available data sets and their structures. · Cloud and on-premise systems integration. Comparing object structures, relational structures, and other data parameters before integration takes place is easy with Virtual Data Viewer.

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