Download software tagged by recover data for access

Getbhavcopy is a free data downloader for Indian stock exchanges (NSE and BSE). It downloads daily EOD (End Of Day) data as well as historical data (past EOD data) for equity stocks and indices. Data is directly downloaded from NSE and BSE servers.

Windows Data Recovery software ensures data restoration from corrupt, crashed, damaged hard drives. Hard Disk Data Recovery software performs thorough scan and displays entire data for the user to save as required.

'Remove Access Security 3.0' is the ultimate tool concerning security for Access databases. 'Remove Access Security' can reveal passwords, reset passwords and remove user-level security for secured and non-secured database (.MDB) files.

DTM Data Generator is a fully customizable tool that generates data for database testing. It creates test data rows, database tables and schema objects. The tool resolves foreign keys and order of tables automatically. SQL, text and XML output.

Remove Access Security 4.0 is the ultimate tool concerning security for Access databases. Remove Access Security can remove user-level security for secured and non-secured database (.MDB) files.

'Remove Access Security 3.0' is the ultimate tool concerning security for Access databases. 'Remove Access Security' can reveal passwords, reset passwords and remove user-level security for secured and non-secured database (.MDB) files.

EMCD addresses data gaps by employing methods like Multiple Linear Regression, Artificial Neural Networks, and interpolation. It enhances precision through Autocorrelation, identifying optimal lag and incorporating lagged data for modeling.

Scientific data visualization software. Creating vertex, grid and surface model, color map, contour plot, vector plot, 4D scatter, 4D slice and 4D vector.

forSQL Data Generator enables automatic generation of test data for large scale database testing and Quality Assurance. Database developers and testers will benefit from the opportunity to fill a database with correct and realistic data sets.