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  2. Microsoft Word - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Word

    Microsoft Word is a word processing program developed by Microsoft.It was first released on October 25, 1983, [13] under the name Multi-Tool Word for Xenix systems. [14] [15] [16] Subsequent versions were later written for several other platforms including: IBM PCs running DOS (1983), Apple Macintosh running the Classic Mac OS (1985), AT&T UNIX PC (1985), Atari ST (1988), OS/2 (1989 ...

  3. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  4. Join (SQL) - Wikipedia

    en.wikipedia.org/wiki/Join_(SQL)

    An inner join (or join) requires each row in the two joined tables to have matching column values, and is a commonly used join operation in applications but should not be assumed to be the best choice in all situations. Inner join creates a new result table by combining column values of two tables (A and B) based upon the join-predicate.

  5. Relational database - Wikipedia

    en.wikipedia.org/wiki/Relational_database

    The join operation defined for relational databases is often referred to as a natural join (⋈). In this type of join, two relations are connected by their common attributes. MySQL's approximation of a natural join is the Inner join operator. In SQL, an INNER JOIN prevents a cartesian product from occurring when there are two tables in a query.

  6. Microsoft Access - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Access

    Microsoft Access has two built-in utilities, Database Splitter [53] and Linked Table Manager, to facilitate this architecture. Linked tables in Access use absolute paths rather than relative paths, so the development environment either has to have the same path as the production environment or a "dynamic-linker" routine can be written in VBA.

  7. Google Fusion Tables - Wikipedia

    en.wikipedia.org/wiki/Google_Fusion_Tables

    Google Fusion Tables is a service for data management, integration and collaboration. You can easily upload data sets from CSV, KML and spreadsheets, and visualize the data using a variety of tools. Users can merge data from multiple tables and conduct detailed discussions about the data (on rows, columns and even cells).

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