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Source: The Open Library

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1Fundamentals of data warehouses

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“Fundamentals of data warehouses” Metadata:

  • Title: ➤  Fundamentals of data warehouses
  • Authors:
  • Language: English
  • Number of Pages: Median: 220
  • Publisher: ➤  Springer London, Limited - Springer
  • Publish Date:
  • Publish Location: Berlin

“Fundamentals of data warehouses” Subjects and Themes:

Edition Identifiers:

First Setence:

"Figure 1 .2 gives a rough overview of the usual data warehouse components and their relationships."

Access and General Info:

  • First Year Published: 2003
  • Is Full Text Available: Yes
  • Is The Book Public: No
  • Access Status: Printdisabled

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    Source: Wikipedia

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    Online analytical processing

    In computing, online analytical processing (OLAP) (/ˈoʊlæp/), is an approach to quickly answer multi-dimensional analytical (MDA) queries. The term OLAP

    Online transaction processing

    real-time (process transactions). The term is contrasted with online analytical processing (OLAP) which instead focuses on data analysis (for example planning

    Hybrid transactional/analytical processing

    and business-sector information systems. Online analytical processing (OLAP) covers the analytical processing involved in creating, synthesizing, and managing

    Analytics

    software engineering topics Mobile Location Analytics News analytics Online analytical processing Online video analytics Operational reporting Operations research

    Pivot table

    Excel pivot tables include the feature to directly query an online analytical processing (OLAP) server for retrieving data instead of getting the data

    Business analytics

    decisions. Business intelligence is querying, reporting, online analytical processing (OLAP), and "alerts". In other words, querying, reporting, and OLAP

    OLAP cube

    An OLAP cube is a multi-dimensional array of data. Online analytical processing (OLAP) is a computer-based technique of analyzing data to look for insights

    Operational analytical processing

    Operational analytical processing, more popularly known as operational analytics, is a subset of data analytics that focuses on improving the operational

    Holos (software)

    Holos was an influential OLAP (Online Analytical Processing) product of the 1990s. Developed by Holistic Systems in 1987, the product remained in use until

    DuckDB

    transactional (OLTP) applications and instead is specialized for online analytical processing (OLAP) workloads. The project has over 6 million downloads per