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  2. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    Cubes (OLAP server) is another lightweight open-source toolkit implementation of OLAP functionality in the Python programming language with built-in ROLAP. ClickHouse is a fairly new column-oriented DBMS focusing on fast processing and response times. DuckDB [32] is an in-process SQL OLAP [33] database management system.

  3. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    ETL diagram in the context of online transaction processing [1] In online transaction processing (OLTP) applications, changes from individual OLTP instances are detected and logged into a snapshot, or batch, of updates. An ETL instance can be used to periodically collect all of these batches, transform them into a common format, and load them ...

  4. Cubes (OLAP server) - Wikipedia

    en.wikipedia.org/wiki/Cubes_(OLAP_server)

    OLAP and aggregated browsing (default is ROLAP) logical model of OLAP cubes in JSON or provided from external sources; hierarchical dimensions (attributes that have hierarchical dependencies, such as category-subcategory or country-region) multiple hierarchies in a dimension; arithmetic expressions for computing derived measures and aggregates

  5. Data orientation - Wikipedia

    en.wikipedia.org/wiki/Data_orientation

    Row-oriented benefits from fast insertion of a new row. Column-oriented benefits from fast insertion of a new column. This dimension is an important reason why row-oriented formats are more commonly used in Online transaction processing (OLTP), as it results in faster transactions in comparison to column-oriented.

  6. Online transaction processing - Wikipedia

    en.wikipedia.org/wiki/Online_transaction_processing

    OLTP is often integrated into service-oriented architecture (SOA) and Web services. Online transaction processing (OLTP) involves gathering input information, processing the data and updating existing data to reflect the collected and processed information. As of today, most organizations use a database management system to support OLTP.

  7. Operational database - Wikipedia

    en.wikipedia.org/wiki/Operational_database

    Since the early 1990s, the operational database software market has been largely taken over by SQL engines. In 2014, the operational DBMS market (formerly OLTP) was evolving dramatically, with new, innovative entrants and incumbents supporting the growing use of unstructured data and NoSQL DBMS engines, as well as XML databases and NewSQL databases.

  8. Comparison of OLAP servers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_OLAP_servers

    2024.3 Proprietary: Pricing- Microsoft Analysis Services: Microsoft [13] 2016 Proprietary: Mondrian OLAP server: Pentaho [14] 3.7 EPL: free Oracle Database OLAP Option: Oracle [15] 11g R2 Proprietary: SAP NetWeaver BW: SAP [16] 7.30 Proprietary - SAS OLAP Server: SAS Institute [17] 9.4 Proprietary - StarRocks: Linux Foundation [18] 3.1 Apache 2 ...

  9. 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.