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model, relational, common and big.
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- This product had a total of 3 reviews as of our last analysis date on Sep 27 2016.
It was neat to learn that technics did so, and i was happy to see ted’s note on that in his acknowledgements
This is a very specialized, yet indeed groundbreaking book on data modeling, and i believe it will serve as a valuable conceptual reference to keep data modeling abreast of current technology
Nosql technologies continue to experience rapid increases in adoption, but their prescribed data structures, in order to scale along with these nosql distributed data systems, to unprecedented levels of data throughput, depart radically from classic physical implementations of entity-relational and dimension data models
As they continue to gain market adoption, undoubtedly there will be an increased need to establish common conceptual and logical data models, and then markedly different physical data models to represent the data physically in nosql technologies, in order to provide the benefits of a good data model: shared understanding, standardization, extensibility to related data subject areas, load performance, query performance, and a straightforward interoperability with relational databases, which continue to be the bulwark back-end for transactional processing