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Le but de ce site est de faire une description non exhaustive des modèles réduits ferroviaires (locomotives, voitures, et wagons) produits par la société JOUEF depuis plus une quarantaine d'années, mais ce site est aussi le vôtre, alors n'hésitez pas à laisser un message si vous ne trouvez pas un modèle ou si vous constatez une anomalie afin de créer une véritable encyclopédie sur les trains électriques JOUEF.
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Brickset is the web's best guide to LEGO sets old and new. Search our database, keep track of your sets and minifig collection and read reviews by other users.
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A very wise systems programmer once told me: “Don’t guess. Measure.”
Optimized for solid-state drives.
RethinkDB is designed and optimized for solid-state drives. Don't just buy new technology, make use of it!
VertexDB is a high performance graph database server that supports automatic garbage collection. It uses the HTTP protocol for requests and JSON for it's response data format and the API is inspired by the FUSE filesystem API plus a few extra methods for queries and queues. It's implementation is currently built on top of TokyoCabinet and libevent.
ultimate database of sampled music and cover songs
Une application de conception visuelle pour NHibernate pour faciliter le mapping des bases de données.
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The DB layer should return objects that are easy to cache and easy to invalidate. The built-in Django database classes (combined with memcache) should work fine for us here.
A performant key-value database. A PHP module is available, that lets PHP access to Redis in a performant way.
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Article proposant 15 moyens pour optimiser vos requêtes SQL.
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Amazon Relational Database Service (Amazon RDS) is a web service that makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business.
IMDlDb : l'extension Firefox pour contourner Hadopi en trois clics
Developing Flowdock, a real-time environment allowing teams to work together seamlessly, we needed a database able to scale horizontally for huge amount of write operations. Cassandra’s data model and performance characteristics made it a perfect fit for our needs.
A couple of good things to remember here: #1 resolving 1 bottleneck can open another bottleneck that is much worse. #2 is to understand that not all API’s are created equal. Additionally the configuration and setup that works well on one system may not work well on another. Because of this people often leave lots of performance on the table. Don’t just trust that your current API or config is optimal, test and make sure it fits your application.