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Refer MetaTrieve to a friend! If you have a friend that you would like to recommend this page to, or if you just want to send yourself a reminder, here is the easy way to do it! Simply fill in the e-mail address of the person(s) you wish to tell about MetaTrieve , your name and e-mail address (so they do not think it is spam and can reply to you directly with gracious thanks), and click the SEND button. If you want to, you can also enter a message that will be included on the e-mail. After sending the e-mail, you will be transported back to the page you recommended! Resource title: MetaTrieve Resource URL: http://www.applicationindex.com/metatrieve.html Description: MetaTrieve is an enterprise-wide search engine and query tool for relational databases, XML documents* and legacy files**. MetaTrieve achieves its data-discovery capability by means of a unique, patent-pending, natural-language metadata search functionality. This metadata search functionality and easy-to-use data query features combine to create a powerful desktop tool to help IT personnel, consultants and business users - from clerks to analysts to the CEO - find where data is located throughout the company A sales clerk or manager may need to know where customer “John Smith” lives, but unlike a web search engine where one can simply enter “John Smith” and hope the results are useful, a relational database requires first that the searcher know where the customer addresses are stored; in what table and what column, or even what database. And it is important to note that this need to know where data is stored constitutes a severe, but little-recognized, limitation with all other existing query tools - rather than finding the data for you, you must first locate WHERE the data is before any existing tool can effectively be used to actually query the data. Yet finding where information is stored in databases and XML documents is not an easy task for IT professionals, let alone business users, consultants and auditors. Because data is stored on many servers in multiple databases in countless tables and columns under widely varied names and labels, the problem of locating information before retrieval is huge and only growing worse as the size of databases and XML files explode. But with MetaTrieve! this problem of enterprise data-discovery is finally solved, and solved intuitively and quickly by searching throughout all of an organization’s relational databases, XML documents* and legacy files**. Name E-mail You Friend 1 Friend 2 Friend 3 Friend 4 Friend 5 Your message:

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