Data Warehousing and Data Mining

Powerful Essays
Topics: Data warehouse
Data Warehouses and Data Marts: A Dynamic View

file:///E|/FrontPage Webs/Content/EISWEB/DWDMDV.html

Data Warehouses and Data Marts: A Dynamic View By Joseph M. Firestone, Ph.D. White Paper No. Three March 27, 1997

Patterns of Data Mart Development In the beginning, there were only the islands of information: the operational data stores and legacy systems that needed enterprise-wide integration; and the data warehouse: the solution to the problem of integration of diverse and often redundant corporate information assets. Data marts were not a part of the vision. Soon though, it was clear that the vision was too sweeping. It is too difficult, too costly, too impolitic, and requires too long a development period, for many organizations to directly implement a data warehouse. A data mart, on the other hand, is a decision support system incorporating a subset of the enterprise’s data focused on specific functions or actvities of the enterprise. Data marts have specific business-related purposes such as measuring the impact of marketing promotions, or measuring and forecasting sales performance, or measuring the impact of new product introductions on company profits, or measuring and forecasting the performance of a new company division. Data Marts are specific business-related software applications. Data marts may incorporate substantial data, even hundreds of gigabytes, but they contain much less data than would a data warehouse developed for the same company. Also since data marts are focused on relatively specific business purposes, system planning and requirements analysis are much more manageable processes, and consequently design, implementation, testing and installation are all much less costly than for data warehouses. In brief, data marts can be delivered in a matter of months, and for hundreds of thousands, rather than millions of dollars. That defines them as within the range of divisional or departmental budgets, rather than as projects needing

You May Also Find These Documents Helpful

  • Satisfactory Essays

    into the usage of data warehousing and data mining techniques to enhance the productivity of the business. The study of the processes is analysed so as to get the need of adaptation according to inherent demands of these industries in near future. The main topics we are discussing here are: a) Data warehousing b) Data Mining c) ETL d) Data Mart An attempt has been made to analyse different ways of using these for the enhancement in the different field. Data warehousing and current trends…

    • 348 Words
    • 2 Pages
    Satisfactory Essays
  • Better Essays

    Data Warehousing and Data mining December, 9 2013 Data Mining and Data Warehousing Companies and organizations all over the world are blasting on the scene with data mining and data warehousing trying to keep an extreme competitive leg up on the competition. Always trying to improve the competiveness and the improvement of the business process is a key factor in expanding and strategically maintaining a higher standard for the most cost effective means in any…

    • 1305 Words
    • 6 Pages
    Better Essays
  • Good Essays

    Data mining and warehousing and its importance in the organization Data Mining Data mining is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data…

    • 1341 Words
    • 6 Pages
    Good Essays
  • Powerful Essays

    Data Warehousing

    • 6222 Words
    • 25 Pages

    Data Warehousing, Data Marts and Data Mining Data Marts A data mart is a subset of an organizational data store, usually oriented to a specific purpose or major data subject, that may be distributed to support business needs. Data marts are analytical data stores designed to focus on specific business functions for a specific community within an organization. Data marts are often derived from subsets of data in a data warehouse, though in the bottom-up data warehouse design methodology the data…

    • 6222 Words
    • 25 Pages
    Powerful Essays
  • Better Essays

    Data Warehousing

    • 1687 Words
    • 7 Pages

    Data warehousing is the process of collecting data in raw form for analyzing trends. The benefits to data warehousing are improved end-user access, increased data consistency, various kinds of reports can be made from the data collected, gather the data in a common place from separate sources and additional documentation of data. Potential lower computing costs, increased productivity, end-users can query the database without using overhead of the operational systems and creates an infrastructure…

    • 1687 Words
    • 7 Pages
    Better Essays
  • Satisfactory Essays

    Data Warehousing

    • 331 Words
    • 2 Pages

    Kimball’s definition of Data Warehousing. Bill Inmon advocates a top-down development approach that adapts traditional relational database tools to the development needs of an enterprise wide data warehouse. From this enterprise wide data store, individual departmental databases are developed to serve most decision support needs. Ralph Kimball, on the other hand, suggests a bottom-up approach that uses dimensional modeling, a data modeling approach unique to data warehousing. Rather than building…

    • 331 Words
    • 2 Pages
    Satisfactory Essays
  • Powerful Essays

    Data Mining

    • 1453 Words
    • 6 Pages

    SMS CUSAT Reading Material on Data Mining Anas AP & Alex Titty John • What is Data? Data is a collection of facts and information or unprocessed information. Example: Student names, Addresses, Phone Numbers etc. • What is a Database? A structured set of data held in a computer which is accessible in various ways. Example: Electronic Address Book, Phone Book. • What is a Data Warehouse? The electronic storage of large amount of data by business. Concept originated in…

    • 1453 Words
    • 6 Pages
    Powerful Essays
  • Powerful Essays

    Data Mining

    • 3792 Words
    • 16 Pages

    university CASE STUDY OF DATA MINING Summitted by Jatin Sharma Roll no -32. Reg. no 10802192 A case study in Data Warehousing and Data mining Using the SAS System. Data Warehouses The drop in price of data storage has given companies willing to make the investment a tremendous resource: Data about their customers…

    • 3792 Words
    • 16 Pages
    Powerful Essays
  • Good Essays

    Data Mining

    • 1660 Words
    • 7 Pages

    Data Mining: What is Data Mining? Overview Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified…

    • 1660 Words
    • 7 Pages
    Good Essays
  • Powerful Essays

    DATA WAREHOUSES & DATA MINING Term-Paper In Management Support System [pic] Submitted By: Submitted To: Chitransh Naman Anita Ma’am A22-JK903 Lecturer 10900100 MSS ABSTRACT :- Collection of integrated, subject-oriented, time-variant and non-volatile data in support of managements decision making process. Described as the "single point of truth", the "corporate memory", the sole historical register of virtually all transactions…

    • 2771 Words
    • 12 Pages
    Powerful Essays