Data Warehouse and Data Mining
Publisher : Global Academic Publishers & Distributors
About the Book
This book is about the need, the value, and the technological means of acquiring and using information in the information age. It is intended to become the handbook and the guide for anybody who's interested in, planning, or working on data warehousing and related issues. This audience is quite large, and includes both technology and business people. Among them are information technology managers, business analysts, marketing managers, product planners, client/ server application developers, information security officers, and system and database administrators. Data warehousing and its advantages, features and usage are discussed against the background of the evolution of the computing models, hardware and software innovation for parallel processing, client/server architecture and implementations, and DBMS. Using these topics as a foundation of the book proceeds to analyze the components of a data warehouse, including data sourcing and transformation tools, parallel database technology, metadata management, query, reporting, OLAP, data mining tools, and information delivery over the Web.
About the Author
Nitu Sharma is an Asstt. Prof. in Master of Computer Application Department, at ABES Engineering College, Ghaziabad. She completed her master degree in mathematics and also in master of computer application. She is having two years experience in industry and four years in teaching experience. And her area of interest in Data mining, Operation research, Data base management system and software engineering etc. She has got the Director's Award from ABES Engg. College for research oriented faculty 2011-12 and also got the Director's Award for improving teaching performance 2011-12. She has published two technical papers in International Journals, eight technical papers in International conference, seven technical papers in National conference. She is also IBM certified - DB2 9 Database and Application Fundamentals and also Rational Application Development (RAD).
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