Search Results for "sm-a115m rawprogram0.xml patch0.xml"

A suite of open source utilities written in Oracle PL/SQL for schema instrumentation, auditing, schema administration scripting, ddl mapping and migration code generation, dml package generation, and xml service package generation based on metadata tables

Model driven code generation can improve coding standards, speed, quality of development and reduce your costs. From my experience generating code from XML using XSLT is one of the best and fastest solutions. This is just the base of the framework presenting the idea, any code template can be implemented upon request. Some sample generators are present for SQL / PLSQL / C# / AnsiC / Java The main target is to generate DTO/BDO/POJO objects based on the database definitions in multiple languages aligning all technologies used by a development team. ...

XML to DDL is a set of python programs to convert an XML representation of a schema into a database and vice versa. It can also examine the differences between two databases and emit the ALTER DDL statements required to bring the database up-to-date. T

T-SQL Script Generator for SQL Server 2000/2005 to Allow Auditing on Database Tables using Triggers and Additional tables for Auditing. SQL Audit is made up of two .NET 2.0 Assemblies: SqlAudit.dll and SqlAuditGenerator.exe.

Build around JDBC and XML, this tool allows you to maintain visual repesentations of a database's layout, edit table's data, generate code to bind objects to tables, and export data in XML format to easely export data from one database to another.

Set of tools and libs for managing structured data in a very flexible way: Imp./Exp. ASCII, XML, SQL, PS, Tex/LaTex, RTF GUI: X-Windows, MS-Windows Interface to C++, DBs, Perl, PHP, Java, TCP/IP LISP-like interpreter written in C++ using C-LIB

Define your database structure and relations once using the ZsqlML (Zenark's SQL Markup Language) XML DTD, and then generate mulitple vendor-specific SQL scripts, thereby solving the issue of SQL script variances across multiple platforms.