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Besides differences in the schema, there are several other differences between the earlier Office XML schema formats and Office Open XML. Whereas the data in Office Open XML documents is stored in multiple parts and compressed in a ZIP file conforming to the Open Packaging Conventions, Microsoft Office XML formats are stored as plain single monolithic XML files (making them quite large ...
Microsoft Excel uses dedicated file formats that are not part of OOXML, and use the following extensions:.xlsb – Excel binary worksheet (BIFF12).xla – Excel add-in that can contain macros.xlam – Excel macro-enabled add-in.xll – Excel XLL add-in; a form of DLL-based add-in [1].xlw – Excel work space; previously known as "workbook"
In 2000, Microsoft released an initial version of an XML-based format for Microsoft Excel, which was incorporated in Office XP. In 2002, a new file format for Microsoft Word followed. [9] The Excel and Word formats—known as the Microsoft Office XML formats—were later incorporated into the 2003 release of Microsoft Office.
The word directory contains the document.xml file which is the core content of the document. [Content_Types].xml This file provided MIME type information for parts of the package, using defaults for certain file extensions and overrides for parts specified by IRI. _rels This directory contains relationships for the files within the package.
Up until the 2007 version, Microsoft Excel used a proprietary binary file format called Excel Binary File Format (.XLS) as its primary format. [38] Excel 2007 uses Office Open XML as its primary file format, an XML-based format that followed after a previous XML -based format called "XML Spreadsheet" ("XMLSS"), first introduced in Excel 2002.
This view is similar to many file browsers and email programs (which can be thought of as three-pane outliners). [3] This type of structure is useful also as a document management tool where the second pane is a document in place of textual information. A one- and two-pane outliner may be combined as a hybrid.
Generative language models are not trained on the translation task, let alone on a parallel dataset. Instead, they are trained on a language modeling objective, such as predicting the next word in a sequence drawn from a large dataset of text. This dataset can contain documents in many languages, but is in practice dominated by English text. [36]
Other data warehouses (or even other parts of the same data warehouse) may add new data in a historical form at regular intervals – for example, hourly. To understand this, consider a data warehouse that is required to maintain sales records of the last year. This data warehouse overwrites any data older than a year with newer data.