Data warehousing basics pdf

  • Data warehouse tools

    Fundamentals

    All popular data warehouses use SQL as their primary querying language.Every data warehouse is different therefore their SQL flavors are also different. All popular modern data warehouses run on the cloud. Data warehouses are split into a few layers. One can connect to data warehouses using..

  • 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.
Information Processing - A data warehouse allows to process the data stored in it. The data can be processed by means of querying, basic statistical analysis, 

How to design a data warehouse?

In the data warehouse, creating an array by month, for example, is a very easy, natural thing to do

Another important design technique that is especially relevant to the data ware- house environment is the deliberate introduction of redundant data

Figure 3

29 The Data Warehouse and Design105 program

What are some good books about data warehousing?

DMR(December 1996)

A description of the different user types in data warehousing

“Virtual Data Warehouse: The Snake Oil of the ‘90s

” Data Management Review(April 1996)

A discussion of the virtual data warehouse and how the concept tries to attach itself to the legitimacy of the data warehouse

“In the Words of Father Inmon ”

What are the basic concepts and mechanisms of data warehousing?

In this paper, we introduce the basic concepts and mechanisms of data warehousing

The aim of data warehousing Data warehousing technology comprises a set of new concepts and tools which support the knowledge worker (executive, manager, analyst) with information material for decision making


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