The Rise of NoSQL Systems: Research and Pedagogy

The Rise of NoSQL Systems: Research and Pedagogy

Akhilesh Bajaj, Wade Bick
Copyright: © 2020 |Pages: 16
DOI: 10.4018/JDM.2020070104
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Abstract

Transaction processing systems are primarily based on the relational model of data and offer the advantages of decades of research and experience in enforcing data quality through integrity constraints, allowing concurrent access and supporting recoverability. From a performance standpoint, they offer joins-based query optimization and data structures to promote fast reads and writes, but are usually vertically scalable from a hardware standpoint. NoSQL (Not Only SQL) systems follow different data representation formats than relations, such as key-value pairs, graphs, documents or column-families. They offer a flexible data representation format as well as horizontal hardware scalability so that Big Data can be processed in real time. In this review article, we review recent research on each type of system, and then discuss how teaching of NoSQL may be incorporated into traditional undergraduate database courses in information systems curricula.
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Review Of Different Data Models Available

First, we describe research related to consistency and availability issues, followed by data partitioning research. Next, we look at the following data models that are in wide use today: the relational model, the key-value (KV) model, the column family model, the graph model, the JSON model and the XML (eXtensible Markup Language) model.

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