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  2. Data deduplication - Wikipedia

    en.wikipedia.org/wiki/Data_deduplication

    The reasons for this are two-fold: First, data deduplication requires overhead to discover and remove the duplicate data. In primary storage systems, this overhead may impact performance. The second reason why deduplication is applied to secondary data, is that secondary data tends to have more duplicate data.

  3. Help:Introduction to tables with Wiki Markup/All - Wikipedia

    en.wikipedia.org/wiki/Help:Introduction_to...

    The two most commonly used classes are "wikitable" and "wikitable sortable"; the latter allows the reader to sort the table by clicking on the header cell of any column. caption Required for accessibility purposes on data tables, and placed only between the table start and the first table row.

  4. Google Panda - Wikipedia

    en.wikipedia.org/wiki/Google_Panda

    But I believe it was the right decision to launch Panda, both for the long-term trust of our users and for a better ecosystem for publishers." [ 2 ] Google's Panda received several updates after the original rollout in February 2011, and their effect went global in April 2011.

  5. Inverted index - Wikipedia

    en.wikipedia.org/wiki/Inverted_index

    The purpose of an inverted index is to allow fast full-text searches, at a cost of increased processing when a document is added to the database. [2] The inverted file may be the database file itself, rather than its index. It is the most popular data structure used in document retrieval systems, [3] used on a large scale for example in search ...

  6. Row- and column-major order - Wikipedia

    en.wikipedia.org/wiki/Row-_and_column-major_order

    More generally, there are d! possible orders for a given array, one for each permutation of dimensions (with row-major and column-order just 2 special cases), although the lists of stride values are not necessarily permutations of each other, e.g., in the 2-by-3 example above, the strides are (3,1) for row-major and (1,2) for column-major.

  7. Data cleansing - Wikipedia

    en.wikipedia.org/wiki/Data_cleansing

    Data cleansing or data cleaning is the process of identifying and correcting (or removing) corrupt, inaccurate, or irrelevant records from a dataset, table, or database.It involves detecting incomplete, incorrect, or inaccurate parts of the data and then replacing, modifying, or deleting the affected data. [1]

  8. Record (computer science) - Wikipedia

    en.wikipedia.org/wiki/Record_(computer_science)

    In computer science, a record (also called a structure, struct, or compound data type) is a composite data structure – a collection of fields, possibly of different data types, typically fixed in number and sequence.

  9. B-tree - Wikipedia

    en.wikipedia.org/wiki/B-tree

    If U−1 is even, then U=2L−1, so there are 2L−2 elements in the node. Half of this number is L −1, which is the minimum number of elements allowed per node. An alternative algorithm supports a single pass down the tree from the root to the node where the insertion will take place, splitting any full nodes encountered on the way pre ...