"Data warehousing and types of storage systems" Essays and Research Papers

Sort By:
Satisfactory Essays
Good Essays
Better Essays
Powerful Essays
Best Essays
Page 1 of 50 - About 500 Essays
  • Powerful Essays

    Assignment2 Warehousing and Storage System <<Carrefour>> Contents page 1. Introduction and Overview Carrefour Corporation‚ the founder of hypermarket‚ the first largest retailer in Europe‚ and the second largest retailer in the world‚ was founded in 1959. In 1963‚ Carrefour opened the first hypermarket in France. Today‚ Carrefour has opened more than 11‚000 retailers‚ its business range cover 30 countries and districts. The Corporation has three main types of operating

    Premium Logistics Supply chain management

    • 7372 Words
    • 30 Pages
    Powerful Essays
  • Powerful Essays

    Data Warehousing

    • 6222 Words
    • 25 Pages

    Data WarehousingData 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

    Premium Data mining Data warehouse

    • 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

    Premium Data warehouse Data mining Database management system

    • 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

    Premium Data warehouse

    • 331 Words
    • 2 Pages
    Satisfactory Essays
  • Best Essays

    Data Warehousing and Olap

    • 2507 Words
    • 11 Pages

    Data warehousing and OLAP Swati Vitkar Research Scholar‚ JJT University‚ Rajasthan. Abstract: Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support‚ which has increasingly become a focus of the database industry. Many commercial products and services are now available‚ and all of the principal database management system vendors now have offerings in these areas. Decision support places some rather different requirements on database technology compared

    Premium Data warehouse Data management Data mining

    • 2507 Words
    • 11 Pages
    Best Essays
  • Powerful Essays

    1. With necessary diagram explain about data warehouse development life cycle . Ans : Introduction to data warehouses. Data warehouse development lifecycle (Kimball’s approach) Q. 2. What is Metadata ? What is it’s uses in Data warehousing Archietechture ? Ans : In simple terms‚ meta data is information about data and is critical for not only the business user but also data warehouse administrators and developers. Without meta data‚ business users will be like tourists left

    Premium Data warehouse Data management Software testing

    • 1833 Words
    • 6 Pages
    Powerful Essays
  • 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

    Premium Data warehouse Data mining Decision support system

    • 348 Words
    • 2 Pages
    Satisfactory Essays
  • Powerful Essays

    Data Warehousing Failures

    • 5385 Words
    • 22 Pages

    Data Warehousing Failures Eight studies of data warehousing failures are presented. They were written based on interviews with people who were associated with the projects. The extent of the failure varies with the organization‚ but in all cases‚ the project was at least a disappointment. Read the cases and prepare a one or two page discussion of the following: 1. What’s the scope of what can be considered a data warehousing failure? Discuss. 2. What generalizations apply across

    Premium Data management Data mining Data warehouse

    • 5385 Words
    • 22 Pages
    Powerful 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

    Premium Data mining Data warehouse

    • 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

    Premium Data mining

    • 1341 Words
    • 6 Pages
    Good Essays
Previous
Page 1 2 3 4 5 6 7 8 9 50