Free data source software for windows

Microsoft SQL Server 2000 Remote Data Source Function Contains Unchecked Buffers Q316333 is a professional and smart program which can connect to remote data sources.

One capability of this feature is the ability to use ad hoc connections to connect to remote data sources without setting up a linked server for less-often used data-sources. This is made possible through the use of OLE DB providers, which are low-level data source providers. This capability is made possible by invoking the OLE DB provider directly by name in a query to connect to the remote data source.

An unchecked buffer exists in the handling of OLE DB provider names in ad hoc connections. A buffer overrun could occur as a result and could be used to either cause the SQL Server service to fail, or to cause code to run in the security context of the SQL Server. SQL Server can be configured to run in various security contexts, and by default runs as a domain user. The precise privileges the attacker could gain would depend on the specific security context that the service runs in.

An attacker could exploit this vulnerability in one of two ways. They could attempt to load and execute a database query that calls one of the affected functions. Conversely, if a web-site or other database front-end were configured to access and process arbitrary queries, it could be possible for an attacker to provide inputs that would cause the query to call one of the functions in question with the appropriate malformed parameters.

Data Generator Source Adapter will generate random integer (DT_I4) and string (DT_WSTR) data and places them in the pipeline. You specify how many columns of each you would like and for any string columns you pass a fixed length value. You then need to specify how many rows in total you require to be generated.
This component is used by us to do testing of the pipeline and components downstream. Previously we would have used a script component (as a source) to generate the rows but found ourselves rewriting the code too often so created this component.
The component is provided as an MSI file, however to complete the installation, you will have to add the transformation to the Visual Studio toolbox manually. Right-click the toolbox, and select Choose Items.... Select the SSIS Data Flow Items tab, and then check the Data Generator Source from the list.

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Migrate-Data is a pure java and an extremely powerful enterprise data migration tool. It supports open source and commercial databases.
With Migrate-Data the user can easily extract, transform, load and integrate data from any-to-any databases. In addition the user can also perform customized data extraction from source and create customized target objects.
Migrate-Data 1.0 supports Oracle, SQL Server, DB2 UDB, MySql, PostgreSql, Ingres, Informix, Mimer SQL, MaxDB, MS Access, Flat File and Excel file as data source and Oracle, SQL Server, DB2 UDB, MySql, PostgreSql, Ingres, Informix, Mimer SQL, MaxDB as target.
Main features:
- Migrates data to target database having same or different schema from the source database
- Generates CREATE TABLE script for target table by having the selected fields from one or more tables with modified properties.
- Incorporates a query builder that helps to create SQL SELECT statement by having selected fields from one or more tables, with data filtering conditions
- Facility for parsing SQL SELECT statement and checking syntax
- Option for adding a field for generating data of type sequence or identity, along with the selected field/s from the source table/s
- Facilitates for changing target table name, field name, field type and size while extracting data from one or more tables in the source database, flat file and Excel sheet
- Facility to execute SQL SELECT statement that is stored in a file for extracting data from the source database
- Facility to paste SQL SELECT statement by copying that from out side sources for extracting data from the source database
- Incorporates Driver manager that helps to instantiate a JDBC driver dynamically at run time
- Generates DDL (Data definition language) script
- Provides syntax editor for viewing, editing and saving generated DDL script for the target database
- Provides syntax editor for viewing, editing and saving generated CREATE TABLE statement for the target table, from the selected tables and declared constraints.

Apatar is the open source leader in data mashup integration. It is the first company to bring open source data mashups solutions. Apatar performs a wide range of ETL (Extract, Transform, and Load) functions and allows easily join your desktop data with the web.
Connectors include: MySQL, PostreSQL, Apatar is the open source leader in data mashup integration, MS SQL, Amazon, Compiere, SugarCRM, Oracle, PostgreSQL, XML, CSV and even Flickr.
No coding is required to accomplish even a complex integration. Benefits: Reduce integration cost, Improve data quality, Shorten implementation time, Reduce maintenance costs, Eliminate custom coding.
Apatar brings a low-cost, on-demand, open source data integration to the masses where users can publish, share and re-use integration mappings over the web.
100% Java, Apatar is multi-platform application with scalable architecture for large deployments. Ideal for integrating on-premise data with the web.