Data Management/Data Warehousing Definitions

This glossary explains the meaning of key words and phrases that information technology (IT) and business professionals use when discussing data management and related software products. You can find additional definitions by visiting WhatIs.com or using the search box below.

  • H

    Hadoop 2

    Apache Hadoop 2 is the second iteration of the Hadoop framework for distributed data processing.  Hadoop 2 adds support for running non-batch applications as well as new features to improve system availability.

  • Hadoop data lake

    A Hadoop data lake is a data management platform comprising one or more Hadoop clusters.

  • Hadoop Distributed File System (HDFS)

    The Hadoop Distributed File System (HDFS) is the primary data storage system used by Hadoop applications.

  • HP e3000

    The HP e3000 is a line of midrange business servers that carries on the well-known series of 3000 computers from Hewlett-Packard (HP).

  • I

    in-memory database management system (IMDBMS)

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

  • J

    JAQL (json query language)

    JAQL is a query language for the JavaScript Object Notation (JSON) data interchange format. Pronounced "jackal," JAQL is a functional, declarative programming language designed especially for working with large volumes of structured, semi-structured and unstructured data.

  • M

    MariaDB

    MariaDB is an open source relational database management system (DBMS) that is a compatible drop-in replacement for the widely used MySQL database technology.

  • master data

    Master data is the core data that is essential to operations in a specific business or business unit.

  • master data management (MDM)

    Master data management (MDM) is a comprehensive method of enabling an enterprise to link all of its critical data to a common point of reference.

  • MongoDB

    MongoDB is an open source database management system (DBMS) that uses a document-oriented database model which supports various forms of data.

  • MPP database (massively parallel processing database)

    An MPP database is a database that is optimized to be processed in parallel for many operations to be performed by many processing units at a time.

  • 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

    NewSQL

    NewSQL is a term coined by the analyst firm The 451 Group as shorthand to describe vendors of new, scalable, high performance SQL databases.

  • 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.

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