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ORM is an anti-pattern | Seldo.Com Blog
I tweeted about ORM last week, and since then several people have asked me to clarify what I meant. I have actually previously written about ORM , but it was in the context of a larger discussion about SQL and I shouldn't have confused the two issues. So here I'm going to focus on ORM itself.
Graph Database Use Cases
Last week we spoke about domain modeling with Neo4j and Django. Today I offer a presentation from Peter Neubauer, COO of Neo Technologies, discussing various use cases that are well suited for graph databases. Couple of quick points with respect to graph databases: Graphs are made up of both nodes and relationships between nodes, another was to say this is vertices and edges Extension to a regular graph is a property graph, in which, both the nodes and the relationships can both have properties associated with them One of the key benefits to using graph databases, or at least in Neo4j's case, is the fast traversal between nodes, there is a huge performance gain, especially when compared to a relational database like MySQL. Peter, provides numerous examples of problems which are nicely handled by graph databases.Beaucoup de frameworks proposent une couche d'accès aux données, c'est-à-dire un système apportant bien souvent une certaine transparence vis-à-vis du SGBD . Nous n'avons plus à nous préoccuper du driver au niveau du code, puisque ce sera le rôle du framework. Qt en fait partie et nous allons voir quelques-unes des très nombreuses possibilités qu'il offre. Bien évidement, il existe d'autres frameworks, comme .Net par exemple, qui propose son célèbre ADO, mais nous utiliserons Qt pour sa facilité d'utilisation et sa portabilité. Le langage utilisé sera C++ et nous choisirons comme SGBD SQL-Server.
L'accès aux données avec Qt
