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Introduction of Data Warehousing and Data Mining

Introduction of Data Warehousing and Data Mining

by Prof. Nikhil Garg, Dr. Kuldeep Malik, Prof. Devendra Kumar (Author)

Rs. 950/-

Book Details

  • Hard Bound: 416 pages
  • Publisher: APST Publication
  • Publication Year: 2015
  • Language: English
  • Edition: 1st
  • ISBN-13: 978-81-930164-9-7
  • Product Dimensions: 14.5 x 22.5 cm
  • Average Customer Review: Be the first to review this item


Recent development in information technology have resulted in the construction of many business applications systems in numerous areas. Within these systems, database often plays an essential role. Data has become a critical resource in many organizations , and therefore , efficient access to the data , sharing the data , extracting information from the data , and making use of the information stored have become an urgent need. However, the availability of too much data makes the extraction of the most important information difficult, if not impossible. View results from any Google search, and you’ll see that the data = information equation is not always correct—that is, too much data is simply too much. As a result, there have been many efforts on firstly integrating the various data sources (e.g. databases) scattered across different sites to build a corporate data warehouse, and then extracting information from the warehouse in the form of patterns and trends.
A data warehouse is very much like a database system, but there are distinctions between these two types of systems. A data warehouse brings together the essential data from the underlying heterogeneous databases, so that a user only needs to make queries to the warehouse instead of accessing individual databases. The co-operation of several processing modules to process a complex query is hidden from the user.