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editorial
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Using real data to invigorate student learning

Published: 01 June 2008 Publication History

Abstract

Students need hands-on-experience with industrial strength databases and large data sets so they can deal with them when once employed. Many schools find it too expensive because of the cost and faculty resources required. That excuse is no longer valid. Colleges and Universities throughout the world can avail themselves of an extraordinary gift from Teradata Corporation that allows introducing large, complex problems into computer science classes without cost. The gift includes software and enormous databases available through the Internet as Software as a Service. This editorial describes the Teradata University Network, and how faculty can obtain this resource for their classes.

Cited By

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  • (2023)Engaging Databases for Data Systems EducationProceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 110.1145/3587102.3588804(334-340)Online publication date: 29-Jun-2023
  • (2020)SQL EducationACM Transactions on Computing Education10.1145/339837720:3(1-33)Online publication date: 7-Aug-2020
  • (2020)The Effects of Database Complexity on SQL Query FormulationJournal of Systems and Software10.1016/j.jss.2020.110576(110576)Online publication date: Mar-2020
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Published In

cover image ACM SIGCSE Bulletin
ACM SIGCSE Bulletin  Volume 40, Issue 2
June 2008
146 pages
ISSN:0097-8418
DOI:10.1145/1383602
Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2008
Published in SIGCSE Volume 40, Issue 2

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Author Tags

  1. data warehouse
  2. database
  3. decision support
  4. portal
  5. teaching

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Cited By

View all
  • (2023)Engaging Databases for Data Systems EducationProceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 110.1145/3587102.3588804(334-340)Online publication date: 29-Jun-2023
  • (2020)SQL EducationACM Transactions on Computing Education10.1145/339837720:3(1-33)Online publication date: 7-Aug-2020
  • (2020)The Effects of Database Complexity on SQL Query FormulationJournal of Systems and Software10.1016/j.jss.2020.110576(110576)Online publication date: Mar-2020
  • (2015)Teradata University NetworkACM Inroads10.1145/27664566:2(50-56)Online publication date: 29-May-2015
  • (2013)Design and Implementation of Web-Enabled Labs for Data WarehousingInternational Journal of Information and Education Technology10.7763/IJIET.2013.V3.318(461-465)Online publication date: 2013
  • (2012)A comparison of instructional data sources in computingJournal of Computing Sciences in Colleges10.5555/2168874.216888927:5(45-51)Online publication date: 1-May-2012
  • (2012)Modeling-Centered Data Warehousing LearningInternational Journal of Business Intelligence Research10.4018/jbir.20121001043:4(74-95)Online publication date: 1-Oct-2012
  • (2010)Performance of python CS1 students in mid-level non-python CS coursesProceedings of the 41st ACM technical symposium on Computer science education10.1145/1734263.1734437(520-523)Online publication date: 10-Mar-2010
  • (2009)Python CS1 as preparation for C++ CS2ACM SIGCSE Bulletin10.1145/1539024.150890741:1(116-120)Online publication date: 4-Mar-2009
  • (2009)Python CS1 as preparation for C++ CS2Proceedings of the 40th ACM technical symposium on Computer science education10.1145/1508865.1508907(116-120)Online publication date: 4-Mar-2009
  • Show More Cited By

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