Version: 1.6 Last Updated: 22 Apr 2017 Release: 27 Sep 2010 Category: Business
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XL DBQuery Details
Works on: Windows 10 | Windows 8.1 | Windows 8 | Windows 7 | Windows XP | Windows 2000 | Windows 2003 | Windows 2008 | Windows 98 | Windows ME | Windows NT | Windows Vista | Windows 2012 SHA1 Hash: 31fed7fd1e7b66b73142ab9102c5e75a38ac96e3 Size: 45.61 MB File Format: zip
Rating: 2.130434782
out of 5
based on 23 user ratings
Publisher Website: External Link Downloads: 79 License: Demo / Trial Version
XL DBQuery is a demo software by SBS Development and works on Windows 10, Windows 8.1, Windows 8, Windows 7, Windows XP, Windows 2000, Windows 2003, Windows 2008, Windows 98, Windows ME, Windows NT, Windows Vista, Windows 2012.
You can download XL DBQuery which is 45.61 MB in size and belongs to the software category Business. XL DBQuery was released on 2010-09-27 and last updated on our database on 2017-04-22 and is currently at version 1.6.
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XL DBQuery Description
XL-DBQuery simplifies the retrieval of data into Microsoft Excel. You can retrieve data from virtually any data source, including Excel, Access, QuickBooks, Sage, File Maker, SQL Server, DB2, Oracle and many other ODBC/OLEDB compatible databases.XL-DBQuery provides you with a very simple and intuitive interface that allows you to query and retrieve data from virtually any SQL database from directly within Excel. You can refresh retrieved data at any time by simply right-clicking it and selecting the refresh option from the menu provided. Rather than forcing you to learn new skills, XL-DBQuery builds on the Excel skills that you already have. The simple and intuitive interface helps make you more self-reliant and no longer dependent upon data specialists or IT professionals to help with your data needs.XL-DBQuerys strength lies in the way that it retrieves data. The software examines your SQL query, and constructs assumptions about the data being analyzed. It understands and overcomes common SQL query errors that people often make when building queries, and this results in assembled queries that accurately reflect your data retrieval requirements.
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