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  2. MongoDB - Wikipedia

    en.wikipedia.org/wiki/MongoDB

    MongoDB can be used as a file system, called GridFS, with load-balancing and data-replication features over multiple machines for storing files. This function, called a grid file system, [36] is included with MongoDB drivers. MongoDB exposes functions for file manipulation and content to developers.

  3. Import and export of data - Wikipedia

    en.wikipedia.org/wiki/Import_and_export_of_data

    The import and export of data is the automated or semi-automated input and output of data sets between different software applications.It involves "translating" from the format used in one application into that used by another, where such translation is accomplished automatically via machine processes, such as transcoding, data transformation, and others.

  4. NoSQL - Wikipedia

    en.wikipedia.org/wiki/NoSQL

    With document databases like MongoDB it is common to put more data in a smaller number of collections. For example, in a blogging application, one might choose to store comments within the blog post document, so that with a single retrieval one gets all the comments.

  5. Document-oriented database - Wikipedia

    en.wikipedia.org/wiki/Document-oriented_database

    The difference [contradictory] lies in the way the data is processed; in a key-value store, the data is considered to be inherently opaque to the database, whereas a document-oriented system relies on internal structure in the document in order to extract metadata that the database engine uses for further optimization.

  6. Realm (database) - Wikipedia

    en.wikipedia.org/wiki/Realm_(database)

    As Realm is an object store, its typed language-specific APIs map typed objects directly into the Realm file – therefore classes are used as the schema definition. Relationships between objects are allowed via "links". Each "link" creates a "backlink" as an inverse relationship to whichever objects are linking to the current object.

  7. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    The graph relates the data items in the store to a collection of nodes and edges, the edges representing the relationships between the nodes. The relationships allow data in the store to be linked together directly and, in many cases, retrieved with one operation. Graph databases hold the relationships between data as a priority.

  8. ATLAS.ti - Wikipedia

    en.wikipedia.org/wiki/ATLAS.ti

    ATLAS.ti is a tool that supports locating, coding/tagging, and annotating features within bodies of unstructured data; it also offers visualization functions.The software is used by researchers in a wide variety of fields, and it supports data in text, graphical, audio, video, and geospatial format. [3]

  9. Write-ahead logging - Wikipedia

    en.wikipedia.org/wiki/Write-ahead_logging

    In computer science, write-ahead logging (WAL) is a family of techniques for providing atomicity and durability (two of the ACID properties) in database systems. [1]A write ahead log is an append-only auxiliary disk-resident structure used for crash and transaction recovery.

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