Data warehousing journal article

  • How is data warehouse prepared?

    A data warehouse is a repository (data & metadata) that contains integrated, cleansed, and reconciled data from disparate sources for decision support applications, with an emphasis on online analytical processing.
    Typically the data is multidimensional, historical, non volatile.
    Data Warehouse Architecture.
    Page 4..

  • How to do data warehousing?

    A data warehouse (DW) is an integrated repository of data put into a form that can be easily understood, interpreted, and analyzed by the people who need to use it to make decisions..

  • What is a data warehouse article?

    A data warehouse is a central repository of information that can be analyzed to make more informed decisions.
    Data flows into a data warehouse from transactional systems, relational databases, and other sources, typically on a regular cadence..

  • What is a data warehouse scholarly articles?

    7 Steps to Data Warehousing

    1. Step 1: Determine Business Objectives
    2. Step 2: Collect and Analyze Information
    3. Step 3: Identify Core Business Processes
    4. Step 4: Construct a Conceptual Data Model
    5. Step 5: Locate Data Sources and Plan Data Transformations
    6. Step 6: Set Tracking Duration
    7. Step 7: Implement the Plan

  • What is the concept of 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..

  • A data warehouse is an enterprise system used for the analysis and reporting of structured and semi-structured data from multiple sources, such as point-of-sale transactions, marketing automation, customer relationship management, and more.
    A data warehouse is suited for ad hoc analysis as well custom reporting.
This paper explores how big data technology could be implemented with data warehouse to support decision making process.

What are the problems in data warehouse architectures?

We first highlight some of the major problems in the existing data warehouse architectures, including the lack of ability to deal with the curse of high-dimensionality

In traditional frameworks, the analysis tasks are applied to anonymised data where the quality of data is degraded

What is data warehousing?

Data warehousing is one of the key developments in the information system (IS) field

Only 10 years ago, warehousing initiatives were just beginning in a few visionary firms

Today, virtually all large organizations have warehouses and many are moving to later generations of warehouses

What is the role of data warehouse in educational data analysis?

Academic data warehouse supports the decisional and analytical activities regarding the three major components in the university context: didactics, research, and management

Data warehouse has important role in educational data analysis

Table 1

The characteristic of traditional data warehouse and modern data warehouse


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