Data Warehousing

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  • Data Warehousing

    2853 Words  | 12 Pages

    Data Warehouses In the past decade, we have witnessed a computer revolution that was unimaginable. Ten to fifteen years ago, this world never would have imagined what computers would have done for business. Furthermore, the Internet and the ability to conduct electronic commerce have changed the way we are as consumers. One of the upcoming concepts of the computer revolution in the past ten years has been that of Data Warehousing. In the following pages, we will examine

  • Data Warehousing

    910 Words  | 4 Pages

    decision making process when the required information is spread out across the company, is called data warehousing. A Data Warehouse is a separate database that is specifically designed for aiding the decision making process. This new database can carry out this function by being subject-oriented, integrated, time-variant, and non-updateable. (Menninger, 1994) These four concepts are vitally important for a data warehouse to supply the decision making information that it is tasked to provide. In the

  • Data Warehousing

    1282 Words  | 6 Pages

    Introduction Data Warehouses (DW) integrate data from multiple heterogeneous information sources and transform them into a multidimensional representation for decision support applications. Apart from a complex architecture, involving data sources, the data staging area, operational data stores, the global data warehouse, the client data marts, etc., a data warehouse is also characterized by a complex lifecycle. In a permanent design phase, the designer has to produce and maintain a conceptual

  • Data Warehousing

    384 Words  | 2 Pages

    implementing the Data warehouse is Sears Roebuck & Co. Sears is in the retailing business selling ever thing from under garments to washing machines. The main reason why the company is implementing the DW is because it wants to maximize the use of its information in its credit data warehouse. The prior application processed steps sequentially one processor at a time thus not using the multiprocessor capabilities of its machine to process the huge quantity of data. Mining of data was too slow and

  • Data Warehousing, Data Mining, and Their Applications

    2462 Words  | 10 Pages

    paper covers trends in the data mining and data warehousing industry. It covers applications and new possibilities in the field along with risks involved, limitations, and possible questions surrounding ethical usage of information. As computing power has increased over the past few decades, the industry has found many innovative solutions to previously impossible problems. The raw increase in computing power, and the ability to push numbers and move large amounts of data in reasonable amounts of

  • Importance Of Data Warehousing

    766 Words  | 4 Pages

    Concept hierarchies organize data or concepts in hierarchical forms or in certain partial order, these are used for expressing knowledge in concise, high-Ieve1 terms, and facilitating mining knowledge at multiple levels of abstraction. Concept hierarchies are also utilized to form dimensions in multidimensional databases and thus are essential components for data warehousing as well. In areas other than data mining, concept hierarchy is commonly called taxonomy. We adopt the term concept hierarchy

  • The Return on Investment of Data Warehousing

    1905 Words  | 8 Pages

    The Return on Investment of Data Warehousing This paper will present the return on investment (ROI) of data warehousing (DW). The history of data warehousing is based on the definition and timeline. Then, detailed information about return on investment will be discussed. Following, will be information about data warehousing new technology of hardware and software. Data Warehousing is a new term in my department where we use the Network Appliance (NetApps) Netfiler storage devices/units. The

  • Modern Business Tools: Data Mining and Data Warehousing

    886 Words  | 4 Pages

    Data mining and Data warehousing are used daily in a wide variety of contexts. In today’s corporate world, decisions must be made rapidly and with the maximum amount of knowledge. Data warehousing is the process in which data from multiple sources is combined and stored in one common database (Gutierrez). The fundamental concept of data warehousing is the distinction between data and information. Data is observable and recordable facts but only comes to have value when it is presented as information

  • Data Warehouse Case Study

    1201 Words  | 5 Pages

    Summary: A data warehouse is an information conveyance framework for business insight. It is not about innovation, but rather about taking care of clients ' issues and giving key information to the client. In the period of characterizing prerequisites, you have to focus on what information the client’s need, less on how you are going to give the obliged information (1). The genuine techniques for giving information will come later, not while you are gathering necessities.

  • Advantages And Disadvantages Of Closed Database Management Systems

    737 Words  | 3 Pages

    With the application the data structure is deeply embedded and the control of data files is with application. 2. Closed database architecture- Database management system has lot of advantages over file systems like security, view, recovery etc. but the separate databases are still designed for almost all applications. This is real with dedicated file architecture, which has high degree of data redundancy and poor administration. Spaghetti looking interfaces move data between the closed databases

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