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  2. IBM Information Management Software - Wikipedia

    en.wikipedia.org/wiki/IBM_Information_Management...

    pureQuery - data access platform; IBM RFID Information Center (RFIDIC) - Tracking and tracing products through global supply chains; IBM InfoSphere DataStage - an ETL tool; InfoSphere Guardium – Real-time database security and monitoring application to safeguard enterprise data (SAP, PeopleSoft, etc.) and address regulatory compliance ...

  3. IBM Information Management System - Wikipedia

    en.wikipedia.org/wiki/IBM_Information_Management...

    The IBM Information Management System (IMS) is a joint hierarchical database and information management system that supports transaction processing. [1] Development began in 1966 to keep track of the bill of materials for the Saturn V rocket of the Apollo program, and the first version on the IBM System/360 Model 65 was completed in 1967 as ICS/DL/I and officially installed in August 1968.

  4. IDMS - Wikipedia

    en.wikipedia.org/wiki/IDMS

    The data model offered to users is the CODASYL network model. The main structuring concepts in this model are records and sets. The main structuring concepts in this model are records and sets. Records essentially follow the COBOL pattern, consisting of fields of different types: this allows complex internal structure such as repeating items ...

  5. Comparison of data modeling tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    Toad Data Modeler: Quest Software: SMBs and enterprises Proprietary: Access, IBM Db2, Informix, MySQL, MariaDB, PostgreSQL, MS SQL Server, SQLite, Oracle: Windows Standalone 2005 (before this date known as CaseStudio) Tool Creator Target Business Size License Supported Database Platforms Supported OSs Standalone or bundled into a larger toolkit ...

  6. Data classification (data management) - Wikipedia

    en.wikipedia.org/wiki/Data_classification_(data...

    Data classification can be viewed as a multitude of labels that are used to define the type of data, especially on confidentiality and integrity issues. [1] Data classification is typically a manual process; however, there are tools that can help gather information about the data. [2] Data sensitivity levels are often proposed to be considered. [2]

  7. Data classification (business intelligence) - Wikipedia

    en.wikipedia.org/wiki/Data_classification...

    The first step in doing a data classification is to cluster the data set used for category training, to create the wanted number of categories. An algorithm, called the classifier, is then used on the categories, creating a descriptive model for each. These models can then be used to categorize new items in the created classification system. [2]

  8. SPSS Modeler - Wikipedia

    en.wikipedia.org/wiki/SPSS_Modeler

    IBM SPSS Modeler is a data mining and text analytics software application from IBM.It is used to build predictive models and conduct other analytic tasks. It has a visual interface which allows users to leverage statistical and data mining algorithms without programming.

  9. IBM Cognos Analytics - Wikipedia

    en.wikipedia.org/wiki/IBM_Cognos_Analytics

    IBM Cognos Analytics with Watson (aka Cognos Analytics, and formerly known as IBM Cognos Business Intelligence) is a web-based integrated business intelligence suite by IBM. It provides a toolset for reporting , analytics , scorecarding , and monitoring of events and metrics.