Databases
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Note that there are some explanatory texts on larger screens.

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    <p>Full-text Search: Imagine you had a dictionary of words, and for each word, you wrote down which document contained the word and the exact location of the word in that document. This is known as a full-text index, and it lets you do things like boolean search and matching an exact phrase. Full-text indexing can easily scale to millions of documents and is what Windows Search 4.0 generally uses. See also Lucene or Sphinx.</p> <p>Concept Search: Conceptual search allows you to input a bunch of relevant words (or even an entire document) and return documents that most closely resemble your input. Based on your collection of documents, it produces concept spaces that allow it to infer semantic links between words. This allows it to return more relevant search results because the computer "understands" the concepts that you are searching for and will match conceptually similar words and phrases. This is what enterprise search and eDiscovery solutions commonly use. Products that offer conceptual search include Engenium and Autonomy.</p> <p>Meta Search: Instead of searching on the content directly, you search on information about the content, known as metadata. Metadata can include things such as tags, keywords, author name, timestamp, etc. So for example, if you know the approximate date when a document was written, you can include that metadata in your search criteria to more quickly narrow-down your search results.</p> <p>As you can tell, there are many ways to approach search, and each involve many different types of data structures. If there is a particular area that you want me to elaborate on, I can do that for you.</p>
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    1. POWhich is the fastest search technique/method? (In context of file searching)
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Guidance
A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.

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If you are curious you may find further information in the browser console, which is accessible through the devtools (F12).

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