Database Step-by-Step by Mark L. Gillenson

By Mark L. Gillenson

This moment variation contains extra fabric on relational database (including a brand new bankruptcy on pseudo-relational database), elevated assurance of the now-standard SQL language, and dialogue of question administration Facility, dBASE III, and dBASE IV. there's additionally remedy of the Date-Wilson approach to database layout, new fabric on relational-style catalogs, object-oriented databases, and professional databases.

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NOTE The ACID transactional support provides a seamless transition to Neo4j for anyone used to the guarantees provided by relational databases, and it offers safety and convenience in working with graph data. Transactional support is one of the strong points of Neo4j, which differentiates it from the majority of NoSQL solutions and makes it a good option not only for NoSQL enthusiasts, but in enterprise environments as well. 8 Summary In this chapter you learned how much more efficient and performant Neo4j can be compared to relational databases for solving specific problems, such as the social network in the example.

10. You might do this if you wanted to link users to addresses regardless of whether or not they currently live at them, and having different relationship types would complicate your queries. The third way is to treat the user’s occupancy of an address as a node in its own right. This is a technique called reification (literally, “making into a thing”), where a relationship between two nodes is broken into two relationships joined together by an intermediate node that represents the original relationship.

All other NoSQL categories build on the simplicity, performance, and scalability of key-value stores to better fit some specific use cases. 2 Column-family stores The distributed key-value model scaled very well but there was a need to use some sort of data structure within that model. This is how the column-family store category came on the NoSQL scene. The idea was to group similar values (or columns) together by keeping them in the same column family (for example, user data or information about books).

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