Repository Support For Data Warehouse Evolution

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Repository Support for Data W arehouse Evolution

    http://ceur-ws.org/Vol-19/paper4.pdf
    Repository Support for Data W arehouse Evolution Christoph Quix Informatik V, RWTH Aachen, Germany [email protected] Abstract Data warehouses are complex systems consist-ing of many components which store highly-aggregated data for decision support. Due to the role of the data warehouses in the daily business

CiteSeerX — Repository Support for Data Warehouse Evolution

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.46.9442
    CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Data warehouses are complex systems consisting of many components which store highlyaggregated data for decision support. Due to the role of the data warehouses in the daily business work of an enterprise, the requirements for the design and the implementation are dynamic and subjective.

Repository Support for Data Warehouse Evolution - CORE

    http://core.ac.uk/display/24274866
    Repository Support for Data Warehouse Evolution . ... we propose in this paper a data warehouse process model to capture the dynamics of a data warehouse. The evolution of a data warehouse is represented as a special process and the evolution operators are linked to the corresponding architecture components and quality factors they affect. We ...

What Is a Data Warehouse Oracle

    https://www.oracle.com/database/what-is-a-data-warehouse/
    A data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics. Data warehouses are solely intended to perform queries and analysis and often contain large amounts of historical data. The data within a data ...

A Short History of Data Warehousing - DATAVERSITY

    https://www.dataversity.net/a-short-history-of-data-warehousing/
    Aug 23, 2012 · Inmon’s work as a Data Warehousing pioneer took off in the early 1990s when he ventured out on his own, forming his first company, Prism Solutions. One of Prism’s main products was the Prism Warehouse Manager, one of the first industry tools for …

Evolving the Data Warehouse Transforming Data with ...

    https://tdwi.org/articles/2017/04/10/evolving-the-data-warehouse.aspx
    Apr 10, 2017 · Evolving the Data Warehouse. ... Each class explores the two-fold issue of evolution: first, how must data warehouse architecture evolve to support (radically) new information consumption patterns? ... The needs the data warehouse was designed to address must be reconciled with -- and, to the degree possible, updated to support -- a real-time ...

Clinical Data Repository vs. Data Warehouse: Which Do You ...

    https://www.healthcatalyst.com/insights/clinical-data-repository-data-warehouse
    Jul 10, 2014 · But in my experience, this belief is limiting: a clinical data repository is just that—a repository. Even though a clinical data repository is good at gathering data, it can’t provide the depth of information necessary for cost and quality improvements because it wasn’t designed for this type of use. Instead, what health systems need is a ...

Data warehouse - Wikipedia

    https://en.wikipedia.org/wiki/Data_warehouse
    Data warehouses in this stage of evolution are updated on a regular time cycle (usually daily, weekly or monthly) from the operational systems and the data is stored in an integrated reporting-oriented data Offline data warehouse Data warehouses at this stage are updated from data in the operational systems on a regular basis and the data ...

Metadata to Support Data Warehouse Evolution

    http://adsabs.harvard.edu/abs/2010isd..book..627S
    Abstract The focus of this chapter is metadata necessary to support data warehouse evolution. We present the data warehouse framework that is able to track evolution process and adapt data warehouse schemata and data extraction, transformation, and loading (ETL) processes.



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