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  2. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    The base data and the dimension tables are stored as relational tables and new tables are created to hold the aggregated information. It depends on a specialized schema design. This methodology relies on manipulating the data stored in the relational database to give the appearance of traditional OLAP's slicing and dicing functionality.

  3. Wes McKinney - Wikipedia

    en.wikipedia.org/wiki/Wes_McKinney

    Wes McKinney is an American software developer and businessman. He is the creator and "Benevolent Dictator for Life" (BDFL) of the open-source pandas package for data analysis in the Python programming language, and has also authored three versions of the reference book Python for Data Analysis.

  4. Oracle Spatial and Graph - Wikipedia

    en.wikipedia.org/wiki/Oracle_Spatial_and_Graph

    Oracle Spatial and Graph, formerly Oracle Spatial, is a free option component of the Oracle Database.The spatial features in Oracle Spatial and Graph aid users in managing geographic and location-data in a native type within an Oracle database, potentially supporting a wide range of applications — from automated mapping, facilities management, and geographic information systems (), to ...

  5. Comparison of OLAP servers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_OLAP_servers

    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 2.0: free

  6. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    KNIME, Konstanz Information Miner – Open-Source data exploration platform based on Eclipse. Minitab, an EDA and general statistics package widely used in industrial and corporate settings. Orange, an open-source data mining and machine learning software suite. Python, an open-source programming language widely used in data mining and machine ...

  7. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    The term data mining appeared around 1990 in the database community, with generally positive connotations. For a short time in 1980s, the phrase "database mining"™, was used, but since it was trademarked by HNC, a San Diego–based company, to pitch their Database Mining Workstation; [11] researchers consequently turned to data mining.

  8. Data preprocessing - Wikipedia

    en.wikipedia.org/wiki/Data_Preprocessing

    Semantic data mining is a subset of data mining that specifically seeks to incorporate domain knowledge, such as formal semantics, into the data mining process.Domain knowledge is the knowledge of the environment the data was processed in. Domain knowledge can have a positive influence on many aspects of data mining, such as filtering out redundant or inconsistent data during the preprocessing ...

  9. Object–relational database - Wikipedia

    en.wikipedia.org/wiki/Object–relational_database

    An object–relational database (ORD), or object–relational database management system (ORDBMS), is a database management system (DBMS) similar to a relational database, but with an object-oriented database model: objects, classes and inheritance are directly supported in database schemas and in the query language.