DATA WAREHOUSING: Concepts, Techniques, Products and ApplicationsThe Third Edition of this well-received text analyses the fundamental concepts of data warehousing, data marts, and OLAP. The author discusses, in an easy-to-understand language, important topics such as data mining, how to build a data warehouse, and potential applications of data warehousing technology in government. Besides, the text compares and contrasts the currently available software tools used to design and develop data warehouses. While retaining the six existing case studies, it gives four new case studies: HARBOR, A Highly Available Data Warehouse A Typical Business Data Warehouse for a Trading Company Customer Data Warehouse for the World’s First and Largest Online Bank in the United Kingdom A German Supermarket EDEKA’s Data Warehouse The book, which is a blend of principles and real-life case studies, is intended as a text for students of B.Tech/M.Tech (Computer Science and Engineering), B.Tech/M.Tech (Information Technology), MBA, M.Sc. (Computer Science), M.Sc. (Information Technology), and MCA. It should also be of considerable utility and worth to software professionals and database practitioners. |
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DATA WAREHOUSING: Concepts, Techniques, Products and Applications C.S.R. PRABHU No preview available - 2008 |
Common terms and phrases
analysis variables applications architecture browser calendar_date_dt capabilities client Cognos create table cube data mart data mining data model data sources data warehouse data warehousing day_of_week DBMS decision support desktop dimension tables disk EDEKA environment Essbase Export Processing Zone fact table foreach GISTNIC hardware historical queries identified information systems infrastructure insert INT NOT NULL integrated Internet Knowledge Discovery MDDB metadata Microsoft Microstrategy mining process Ministry of Commerce MOLAP month multidimensional database National Informatics Centre OLAP tools OLTP operational Oracle pants_id Pentaho performance pleat_state PowerCubes PowerPlay primary key Qptions RDBMS Region plain front Region pleated relational database ROLAP sales_fact scalable sectors segments ship_to_region SQL Server star schema Step stored Tamil Nadu techniques time_dimension transactions Treasuries update users values VARCHAR various vendors warehousing and data