Data Warehousing and Data Mining. Express Learning

Dorling Kindersley, 2012. — 271 p. — ISBN: 9788131799055Over the past few decades, organizations have built huge databases by collecting a large amount of data. Several factors contribute to the generation and collection of such data. These factors include computerization of business, scientific and government transactions, advancement in data collection tools such as digital cameras, scanners, satellite remote sensing systems, etc., and widespread use of the World Wide Web. With the continuous increase in the amount of data, the need arises for new tools and techniques that can assist knowledge workers in transforming vast amounts of data into useful information. Some of these tools and techniques include data warehousing, online analytical processing (OLAP), and data mining. Data warehouses contain consolidated data from many sources, augmented with summary information, and covering a long period. OLAPrefers to the analysis of complex data from the data warehouse, and data mining refers to the mining or discovery of new information in terms of patterns or rules from a vast amount of data. These tools provide the correct level of information to help the decision makers in decision making.