Titlebook: SQL and NoSQL Databases; Modeling, Languages, Michael Kaufmann,Andreas Meier Textbook 2023Latest edition The Editor(s) (if applicable) and

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Database Management,tructured Query Language (SQL), as well as the architecture, is given. The definition of Big Data is based on several Vs such as volume, variety, velocity, value, and veracity. Based on this definition, NoSQL databases are introduced including a graph model with the graph-oriented query language Cyp

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Database Modeling,ypes, generalization, and aggregation. Second, the introduction of the relational model consists of studying dependencies and normal forms and mapping rules from ER models to table structures. The third database model, the graph model, is defined by its properties and mapping rules to ER to graph st

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Database Languages,he Structured Query Language SQL is discussed. A graph-oriented query language is outlined with the help of Cypher, a graph-based language of the database system Neo4j. Moreover, a document-oriented language, MongoDB Query Language MQL, is introduced. Furthermore, embedding of relational, graph, and

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Post-relational Databases,bases include federal databases, temporal databases, and multi-dimensional databases. Also, the chapter introduces data warehouses and data lakes, which combine federal, temporal, and multi-dimensional properties. Moreover, object-oriented extensions in object-relational databases are discussed. Add

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NoSQL Databases,rs to persist data. Third, column-family stores build on this concept, but add column-families to control physical collocation. Fourth, document stores introduce more structured records that can be searched by property-based random access. Fifth, XML databases are document stores for the XML syntax.

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Database Security,ncy in NoSQL databases are discussed. In addition, vector clocks are introduced in order to serialize parallel transactions. A comparison of transaction language elements in SQL, Cypher, and MQL closes the chapter.

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System Architecture,execution plan in the optimizer. Third, the Map/Reduce technique for NoSQL databases is discussed. Fourth, the layered database system architecture is summarized. Finally, the architecture of cloud databases is defined.