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Data Management

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SQL & NoSQL Databases

Abstract

The first chapter gives an overview about information systems and databases. An introduction into SQL databases, including the relational model, the Structured Query Language (SQL), as well as the architecture is given. The definition of Big Data is based on several vʼs such as volume, variety, velocity, value, and veracity. Based on this definition, NoSQL databases are introduced including a graph model, the graph-oriented query language Cypher, as well as architectural issues of NoSQL databases. Last but not least, organizational aspects of data management are discussed, including the new role of data scientists.

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Notes

  1. 1.

    ANSI is the national standards organization of the US. The national standardization organizations are part of ISO.

  2. 2.

    Gartner Group, IT glossary—big data; http://www.gartner.com/it-glossary/big-data/, retrieved February 11, 2015

  3. 3.

    NoSQL Archive; http://nosql-database.org/, retrieved February 17, 2015

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Authors and Affiliations

  1. Department für Informatik, Universität Fribourg, Fribourg, Switzerland

    Andreas Meier

  2. Departement für Informatik, Hochschule Luzern, Rotkreuz, Switzerland

    Michael Kaufmann

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  1. Andreas Meier
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  2. Michael Kaufmann
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Correspondence to Michael Kaufmann .

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Meier, A., Kaufmann, M. (2019). Data Management. In: SQL & NoSQL Databases. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-24549-8_1

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