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Big Data - Challenges for Computer Science Education

机译：大数据-计算机科学教育面临的挑战

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摘要

Data processing is a central topic of computer science and hence also in secondary computer science education, which includes strategies for storing, managing and retrieving data. In the context of Big Data, this field changes tremendously: established ideas, such as avoiding redundancies and storing data in a persistent and consistent way, are dropped in order to speed up the access to distributed stored data as well as its availability. Furthermore, with the rapidly growing impact of data processing on everyone's daily life, computer science education needs to address these aspects as well as their social and ethical implications, such as privacy issues. This paper points out the major challenges that arise from the outlined developments by evaluating whether database concepts and examples commonly used in CS education need to be updated.
机译：数据处理是计算机科学的中心主题，因此也是中学计算机科学教育的主题，其中包括存储，管理和检索数据的策略。在大数据的背景下，该领域发生了巨大变化：为了避免对冗余存储数据及其可用性的访问，放弃了诸如避免冗余和以持久且一致的方式存储数据之类的既定思想。此外，随着数据处理对每个人的日常生活的影响迅速增长，计算机科学教育需要解决这些方面以及它们的社会和道德影响，例如隐私问题。本文通过评估是否需要更新CS教育中常用的数据库概念和示例，指出了概述的发展所带来的主要挑战。

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