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  2. Online transaction processing - Wikipedia

    en.wikipedia.org/wiki/Online_transaction_processing

    An OLTP system is an accessible data processing system in today's enterprises. Some examples of OLTP systems include order entry, retail sales, and financial transaction systems. [5] Online transaction processing systems increasingly require support for transactions that span a network and may include more than one company.

  3. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    OLAP is typically contrasted to OLTP (online transaction processing), which is generally characterized by much less complex queries, in a larger volume, to process transactions rather than for the purpose of business intelligence or reporting. Whereas OLAP systems are mostly optimized for read, OLTP has to process all kinds of queries (read ...

  4. OLAP cube - Wikipedia

    en.wikipedia.org/wiki/OLAP_cube

    An OLAP cube is a multi-dimensional array of data. [1] Online analytical processing (OLAP) [ 2 ] is a computer-based technique of analyzing data to look for insights. The term cube here refers to a multi-dimensional dataset, which is also sometimes called a hypercube if the number of dimensions is greater than three.

  5. Essbase - Wikipedia

    en.wikipedia.org/wiki/Essbase

    Also note that of the above competitors, including Essbase, all use heterogenous relational (Microsoft SQL Server, Oracle, IBM DB/2, TeraData, Access, etc.) or non-relational data sourcing (Excel, text Files, CSV Files, etc.) to feed the cubes (facts and dimensional data), except for Oracle OLAP which may only use Oracle relational sourcing.

  6. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    Graph databases differ from graph compute engines. Graph databases are technologies that are translations of the relational online transaction processing (OLTP) databases. On the other hand, graph compute engines are used in online analytical processing (OLAP) for bulk analysis. [5]

  7. Fact or Fiction: Is home-court advantage in the NBA's regular ...

    www.aol.com/sports/fact-fiction-home-court...

    Winning 55% of the time is pretty good if you are in the gambling business, but a sample size of 11 home games is too small to trust. Something worth monitoring, though. Determination: Fiction? At ...

  8. Data orientation - Wikipedia

    en.wikipedia.org/wiki/Data_orientation

    As a result of these tradeoffs, row-oriented formats are more commonly used in Online transaction processing (OLTP) and column-oriented formats are more commonly used in Online analytical processing (OLAP). [2] Examples of column-oriented formats include Apache ORC, [3] Apache Parquet, [4] Apache Arrow, [5] formats used by BigQuery, Amazon ...

  9. Forget salty, sweet, and umami—2025 is the year of sour. More specifically, sour cherries are about to have a moment, according to market research firm Mintel's 2025 Global Food and Drinks ...

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