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Madhav Sharma; Andy Bowman – Journal of Information Systems Education, 2025
"Not only SQL" (NoSQL) databases have become widespread across organizations, enabling sophisticated, data-driven applications to be highly available, distributed, and cloud-based, such as e-commerce, social media, online multiplayer games, and video streaming. However, NoSQL is still sparsely found in MIS and analytics curricula. This…
Descriptors: Educational Technology, Technology Integration, Databases, Data Analysis
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Teer, Harold B.; Teer, Faye P.; Kruck, S. E. – Journal of Marketing Education, 2007
This article presents findings of an empirical investigation of the database marketing (DBM) course in business schools within the United States accredited by the Association to Advance Collegiate Schools of Business. Results indicated that from 2001 to 2005 there was a 52.5% increase in the percentage of business schools offering an undergraduate…
Descriptors: Marketing, Databases, Course Content, Case Studies
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King, Michael A. – Journal of Information Technology Education, 2009
Business intelligence derived from data warehousing and data mining has become one of the most strategic management tools today, providing organizations with long-term competitive advantages. Business school curriculums and popular database textbooks cover data warehousing, but the examples and problem sets typically are small and unrealistic. The…
Descriptors: Strategic Planning, Problem Sets, Corporations, Statistics
Porter, Dennis – 1990
This document addresses the recommendation contained in the 1989 California Strategic Plan for Adult Education for an integrated adult education data system. The recommendation proposes collecting and organizing community adult education information into groups of data on: program services, program delivery, learner characteristics, and learning…
Descriptors: Adult Education, Computer Uses in Education, Database Management Systems, Databases
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Chen, L. T.; And Others – Information Systems, 1995
This paper addresses the problem of data management techniques for efficiently retrieving requested subsets of large data sets from mass storage devices. Describes the development of algorithms and software that facilitate the partitioning of a large data set into multiple "clusters" that reflect their expected access. (Author/JKP)
Descriptors: Algorithms, Computer Software Development, Data Processing, Database Management Systems
Smith, Gary R. – 1992
This paper describes an approach to information processing developed by Wayne State University (Detroit, Michigan) prior to a School of Education accreditation review by the National Association for the Accreditation of Teacher Education (NCATE). Information was needed to provide persuasive evidence in response to each NCATE criterion. The…
Descriptors: Course Descriptions, Database Management Systems, Databases, Evaluation Criteria
Saginaw Public Schools, MI. Dept. of Evaluation, Testing, and Research. – 1996
This publication describes an evaluation design developed to assess school-to-work (STW) efforts throughout the Saginaw Valley STW Partnership area in Michigan. An introduction is followed by an overview of the aim of evaluation. Section 3 describes how the variables pertinent to the evaluation of the STW program initiative were identified,…
Descriptors: Data Analysis, Data Collection, Data Processing, Database Management Systems
Bates, Mary Ellen; Allen, Kimberly – Database, 1994
Discusses applications of Lotus Notes groupware developed by MCI Communications Corporation librarians. The development of administrative databases used for reference request tracking, interlibrary loan, book ordering and other purposes, and corporate wide databases used to disseminate internal and external information are described. The strengths…
Descriptors: Corporate Libraries, Database Design, Database Management Systems, Databases
Frost, Jacqueline; Dalrymple, Margaret; Wang, Mindy – 1998
Institutional researchers play a key role in an environment where data warehouses are used to store and retrieve vast amounts of data. Along with the benefits of increased access for more users, improved reporting capabilities, and less reliance on centralized information, come questions of appropriate data usage, data access and security,…
Descriptors: College Planning, Computer Software, Data Collection, Database Management Systems