DBMS strategy Definitions

  • C

    column database management system (CDBMS)

    There are different types of CDBMS offerings, with the common defining feature being that data is stored by column (or column families) instead of as rows.

  • columnar database

    A columnar database is a database management system (DBMS) that stores data in columns instead of rows.

  • D

    data classification

    Data classification is the process of organizing data into categories for its most effective and efficient use. A well-planned data classification system makes essential data easy to find and retrieve.

  • DataOps (data operations)

    DataOps (data operations) is an approach to designing, implementing and maintaining a distributed data architecture that will support a wide range of open source tools and frameworks in production.

  • denormalization

    In a relational database, denormalization is an approach to optimizing performance in which the administrator selectively adds back specific instances of duplicate data after the data structure has been normalized.

  • G

    Google Bigtable

    Google Bigtable is a distributed, column-oriented data store created by Google Inc. to handle very large amounts of structured data associated with the company's Internet search and Web services operations.

  • Google Cloud Dataflow

    Google Cloud Dataflow is a cloud-based data processing service for both batch and real-time data streaming applications.

  • Google Cloud Spanner

    Google Cloud Spanner is a distributed relational database service that runs on Google Cloud.

  • I

    in-memory database management system (IMDBMS)

    An in-memory database management system (IMDBMS) stores, manages and provides access to data from main memory.

  • M

    MongoDB

    MongoDB is an open source database that uses a document-oriented data model.

  • multimodel database

    A multimodel database is a data processing platform that supports multiple data models, which define the parameters for how the information in a database is organized and arranged.

  • N

    NoSQL (Not Only SQL database)

    NoSQL is an approach to database design that can accomodate a wide variety of data models, including key-value, document, columnar and graph formats. NoSQL, which stand for "not only SQL," is an alternative to traditional relational databases in which data is placed in tables and data schema is carefully designed before the database is built.

  • NoSQL DBMS (Not only SQL database management system)

    Understanding the types of NoSQL DBMSes that are available is an important requirement for modern application development.

  • NuoDB

    NuoDB is a SQL-oriented transactional database management system designed for distributed deployment in the cloud.

  • O

    OLAP (online analytical processing)

    OLAP (online analytical processing) enables a user to easily and selectively extract and view data from different points-of-view.

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