Relational vs. non-relational databases: Which one is right for you? OK, so we know that you're here to weigh the technical differences between relational and non-relational databases. But before diving right in, it's essential to whiteboard your data model and determine the priority that scalability poses for that particular model. Draw it out on paper if you must; don’t be afraid to use low-tech tools like different colored pens. The point is to start with a clear idea, and a picture can certainly help you accomplish that. In order to whiteboard your data model as accurately as possible, you'll need to ask the right questions. Relational databases Relational databases like MySQL, PostgreSQL and SQLite3 represent and store data in tables and rows. Relational databases use Structured Querying Language (SQL), making them a good choice for applications that involve the management of several transactions. Referential integrity (and minimizing ORM Impedance Mismatch) Here’s how: First, define the Shelter ID column in the Shelter table to be our primary key.
To be geek or not to be Your Web, documented · WebPlatform.org Your New SEO Browser: Browseo SQL vs NoSQL: The Differences Trending posts on SitePoint today: SQL (Structured Query Language) databases have been a primary data storage mechanism for more than four decades. Usage exploded in the late 1990s with the rise of web applications and open-source options such as MySQL, PostgreSQL and SQLite. NoSQL databases have existed since the 1960s, but have been recently gaining traction with popular options such as MongoDB, CouchDB, Redis and Apache Cassandra. You’ll find many tutorials explaining how to use a particular flavor of SQL or NoSQL, but few discuss why you should choose one in preference to the other. Most examples apply to the popular MySQL SQL and MongoDB NoSQL database systems. The SQL vs NoSQL Holy War Before we go further, let’s dispel a number of myths … MYTH: NoSQL supersedes SQL That would be like saying boats were superseded by cars because they’re a newer technology. MYTH: NoSQL is better / worse than SQL Some projects are better suited to using an SQL database. SQL Tables vs NoSQL Documents
JavaScript, JavaScript… – by Angus Croll Pompage.net : le web design puisé à la source Réussir le référencement des images : guide complet Cet article donne tous les meilleurs conseils pour bien référencer ses images afin d'être bien positionné dans la recherche d'images Google Image et également dans la recherche web classique, puisque Google inclut (parfois) des images dans la recherche classique (Google appelle ça la recherche universelle). Article mis à jour le 26/06/2015, publié initialement le 07/09/2007 Conseils pour bien référencer des images dans Google Critères d'optimisation des images pour le référencement Le positionnement dans Google Images dépend de critères spécifiques à ce moteur de recherche, différents de ceux de l'algorithme classique de la recherche web. Exemple de recherche référencement d'images dans Google Images : Exemple de requête Référencement d'images dans Google Images Le + important pour le SEO des images Voici selon moi les principaux critères utilisés par Google pour le classement de la recherche d'images... Deuxième point à travailler, surtout que c'est ultra simple : l'attribut ALT.
Compose Compare: MongoDB vs. PostgreSQL - Compose Articles Compose offers hosted services that conquer the data layer of your applications, but choosing the right components for your data layer can be a challenge. Compose Compare pits two of these components together to help you determine which style best fits your needs. It can be difficult for developers to keep up with the latest advancements in database technology. It's tempting for developers to continually use the same databases for every project because of familiarity, despite there being a system more suited to that project's data needs. In this Compose Compare, we'll take a look to two of our most popular offerings, MongoDB and PostgreSQL, and help you decide which one would be a good fit for your project. MongoDB MongoDB is a widely deployed open-source document storage database (colloquially called a NoSQL database). Organization of Data MongoDB stores data in Documents, which are then organized into Collections. Connecting to MongoDB Managing Data use dbname; Relationships Between Entities
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