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When all is set up, click on the Next button:įrom the Data source tab, the view will go to the Action tab. In the Data source tab of the New project window, configure the SQL Server instance, type of Authentication, etc., and choose the Database which data wants to export to an Excel file. On the launch of ApexSQL Pump, the New project window will appear. Import data from 11 different file types to the SQL database
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This chapter will explain how to export data from the SQL database to an Excel file by using ApexSQL Pump.ĪpexSQL Pump is a SQL database tool that allows users to:Įxport data from SQL database to 13 different file types The Excel file with exported data will be looked like this:Įxporting data from SQL database using ApexSQL Pump Click on the Finish button to complete export data from SQL database to an Excel file: It is a summary of the choices that have been made. The Complete the Wizard step is last in the chain.
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If there is no need to save the SSIS package click on the Next button: If satisfied with the results, click on the Next button to open the Save and Run Package window, where the Run immediately option is selected by default. When tables and/or views are selected, click on the Preview button to see data that will be exported to an Excel file: The Select Source Tables and Views step will be next, which will be choosing one or more tables or views to export data from the SQL database to an Excel file. Select Copy data from one or more tables or views option and click the Next button to continue: Only this time, when we click the Next option, it will go to the next step, Specify Table Copy or Query. Go through the configuration one more time up until the step when it previously failed. This time, the 64-bit version of the SQL Server Import and Export is opened. To overcome this error, close SQL Server Management Studio, find the 64-bit version of SQL Server Import and Export Wizard from the Start menu, and run it: This issue is usually encountered on a 64-bit operating system in a combination with the 32-bit version of SQL Server Management Studio: “The operation could not be completed” error might be encountered. When everything is selected, click on the Next button to proceed further: In this section, click the Browse button to choose a path for the Excel file, and from the Excel version drop-box list, choose the type of Excel version. In this particular case, the Excel connection settings section is shown. Section under the Destination drop-box will be changed according to the selected destination source. From the Destination drop-box list, choose the Microsoft Excel source. Fill out the required, choose the SQL database from which data will be copied, and click on the Next button:Ĭhose a Destination step is next, in which a source where data will be copied will be selected. The Server name drop-box will appear with the Authentication section and the Database options. Click on the Data source drop-down list and select the SQL Server Native Client 11.0 item. In this step, a data source from which data will be copied should be selected. The SQL Server Import and Export wizard window will be opened, whereby clicking on the Next button export data process will continue:Ĭhoose a Data Source step is the first step. The Tasks submenu will appear, in which we need to click on the Export data command: From Object Explorer right-click on the targeted database, in this case, the sample WideWorldImportes database, and click the Tasks option: Launch SQL Server Management Studio and connect to the desired SQL Server instance.
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In this article, exporting data from an SQL database to an Excel file will be explained. SQL Server Management Studio has an option that allows users to export data from SQL databases to different data sources. Excel has proven to be one of the simplest solutions in data sharing for most users.Įxporting data from SQL database using SQL Server Import and Export Wizard
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Sharing data resources with multiple users is an often task that DBAs and developers are faced with on daily routines. In the database world, data plays an important role.