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I am not a sql pro I have a understanding of simple thing like queries and moving databases but my boss doesn't want to pay GE the people who created the DB the money to do these techniques so if someone has a technet article or some how to's it would be appreciated<br />
<br />
thanks<br />
<br />
andre
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I am not a sql pro I have a understanding of simple thing like queries and moving databases but my boss doesn't want to pay GE the people who created the DB the money to do these techniques so if someone has a technet article or some how to's it would be appreciated

thanks

andre

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We have a database that has grown to 350 GB over a five year period. I was trying to figure out a way to split this data whiles keeping it accessable. any ideas would be helpful<br />
<br />
thanks
</div>
</div>


We have a database that has grown to 350 GB over a five year period. I was trying to figure out a way to split this data whiles keeping it accessable. any ideas would be helpful

thanks

SQL 2000 Large database

Microsoft SQL Server 2005 is a suite of relational database management system (RDBMS) products providing multi-user database access functionality.Component services include integration (SSIS), reporting (SSRS), analysis (SSAS), data quality, master data, T-SQL and performance tuning. It includes support for managing XML data and allows a database server to be exposed over web services using Tabular Data Stream (TDS) packets encapsulated within SOAP (protocol) requests.

Microsoft SQL Server 2005

Databases are organized collections of data, most commonly accessed through management systems including schemas, tables, queries and processes that allow users to enter and manipulate the information or utilize it in other fashions, such as with web applications or for reporting purposes.

Databases

Microsoft SQL Server 2008 is a suite of relational database management system (RDBMS) products providing multi-user database access functionality.Component services include integration (SSIS), reporting (SSRS), analysis (SSAS), data quality, master data, T-SQL and performance tuning. Major improvements include the  Always On technologies and support for unstructured data types.