Data warehousing tools in knowledge management

  • Data warehouse products

    Data warehouse access tools: Access tools allow users to interact with the data in your data warehouse.
    Examples of access tools include: query and reporting tools, application development tools, data mining tools, and OLAP tools..

  • Data warehouse products

    Using SQL, the data warehouse connects to commercial and open-source analytical tools.
    Features: Cloud-based, super-fast parallel querying, best-fit engineering.
    Scalability: Scalable infrastructure, optimized performance.
    Security: Advanced security measures, integration with analytical tools..

  • What are the 3 main categories of tools in a data warehouse?

    Data Warehouse Tools

    Data consolidation and integration.Data transformation from one form to another form.Data transformation and calculation based on the function of business rules that force transformation..

  • Data Warehouse Tools

    Data consolidation and integration.Data transformation from one form to another form.Data transformation and calculation based on the function of business rules that force transformation.
Oct 25, 2023Many data warehouse management tools offer built-in transformations. These steps include aggregate, lookup, join, and filter, to streamline the 
Data warehouse tools are software applications or platforms designed to facilitate the process of collecting, storing, managing, and analyzing large volumes of data from various sources, such as databases, spreadsheets, cloud services, and even IoT devices.

What is the purpose of data warehouse?

The purpose of data warehouse is to empower the knowledge workers with information that allows them to make decision based on a foundation of fact

The aim of this paper is to integrate a framework of knowledge management and data mining with knowledge warehouse

If properly designed and implemented, the goal of warehousing data is to drastically reduce the time required in the decision making process. To do so, it employs three tools, namely Online Analytical Processing System (OLAP), data mining, and data visualization (Parankusham & Madupu 2006).

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