Data Management/Data Warehousing Definitions

  • N

    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.

  • OLAP cube

    An OLAP cube is a multidimensional database that is optimized for data warehouse and online analytical processing (OLAP) applications.

  • P

    predictive modeling

    Predictive modeling is a process that uses data mining and probability to forecast outcomes. Each model is made up of a number of predictors, which are variables that are likely to influence future results.

  • privacy

    On the Internet, privacy, a major concern of users, can be divided into these concerns: What personal information can be shared with whom Whether messages can be exchanged without anyone else seeing them Whether and how one can send messages anonymously Personal Information Privacy Most Web users want to understand that personal information they share will not be shared with anyone else without their permission.

  • R

    raw data (source data or atomic data)

    Raw data (sometimes called source data or atomic data) is data that has not been processed for meaningful use.

  • RFM analysis (recency, frequency, monetary)

    RFM (recency, frequency, monetary) analysis is a marketing technique used to determine which customers are the best ones by examining how often a customer buys (recency), how long it's been since their last purchase (frequency), and...

  • S

    semantic technology

    Semantic technology is a set of methods and tools that provide advanced means for categorizing and processing data, as well as for discovering relationships within varied data sets.

  • snowflaking (snowflake schema)

    In data warehousing, snowflaking is a form of dimensional modeling where dimensions are stored in multiple related dimension tables. 

  • sparsity and density

    Sparsity and density are terms used to describe the percentage of cells in a database table that are not populated and populated, respectively. The sum of the sparsity and density should equal 100%.

  • SQL-on-Hadoop

    SQL-on-Hadoop is a class of analytical application tools that combine established SQL-style querying with newer Hadoop data framework elements.

  • star schema

    In data warehousing, a star schema is the simplest form of dimensional model, with data organized into facts and dimensions. 

  • synthetic backup

    Synthetic backup is the process of generating a file from a complete copy of a file created at some past time and one or more incremental copies created at later times... (Continued)

  • T

    tree structure

    A tree structure is an algorithm for placing and locating files (called records or keys) in a database. The algorithm finds data by repeatedly making choices at decision points called nodes. A node can have as few as two branches (also called children)...

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