Daniel Ste-Croix
AngularJS | Application Mobile Pour Les Nuls. 50 Free Bootstrap 3 Templates and UI Kits. We have collected 50 Bootstrap 3 templates for you to freely use in your next project. We have purposefully omitted all of those starter, bare-bones and unstyled templates from this round-up, of which there are a multitude freely available on the web.
We instead have focussed on highlighting 50 fully-featured, creatively designed, and of course, free Bootstrap 3 templates, that we are sure you will love and appreciate. We have categorized the themes and templates into the following sections: Landing Page Templates, Single-Page Templates, Multi-Purpose Templates, Creative Agency Templates, Portfolio Templates, Coming Soon Templates, Material Design Templates, Style Guide Templates, and finally a selection of fantastic Bootstrap built UI kits. Bootstrap Landing Page Templates Pratt – A clean landing page template for your app or startup. Landy – A flexible landing template for your app. Butterfly Bootstrap Theme Colorful Flat Theme – A simple flat landing page template.
Coming Soon Templates. Home - A to Z CSS. Les évènements. Rewritecomd comparison sting string. Établir un profil de compétences : deux outils pour vous aider - Région au Travail. Avant de s’attaquer au contenu du profil des compétences, il est important de définir ce que l’on entend par « compétences » et « profils de compétences ». De nombreuses organisations définissent une compétence comme étant l'ensemble des connaissances, des habiletés, des aptitudes et autres dont un employé fait preuve dans l'accomplissement de son travail, et qui donne lieu à un rendement professionnel supérieur (Agence de gestion des ressources humaines de la fonction publique du Canada, 2006; Spencer et Spencer, 1993). Certaines définitions incluent également les qualités, ou traits personnels, et les valeurs. À titre d'exemples, mentionnons les bonnes relations interpersonnelles, la capacité de travailler en équipe, la compétence technique et la fiabilité.
On dégage 4 composantes du profil des compétences : 1. Dans la mesure où les connaissances acquises ont de fortes chances d’être appliquées dans le milieu professionnel, elles sont d’un grand intérêt pour la dotation. À retenir…. Bootstrap themes, templates, and gallery. Accéder à une base CouchDB via l'interface REST. Ça y est? Vous avez installé CouchDB? Il est temps maintenant de s'en servir! Dans cet article, nous allons aborder les concepts de base et voir comment accéder à une base CouchDB via l'interface REST. REST – pour Representational State Transfer – est une architecture client-serveur dans laquelle un client utilise le vocabulaire standard d'un protocole pour identifier et manipuler des ressources sur un serveur.
Un point clé étant que le serveur est sans état. Ce qui implique qu'à chaque requête le client doit être en mesure de fournir assez d'informations au serveur pour qu'il puisse traiter la requête. Le cas d'école pour l'architecture REST est l'utilisation du protocole HTTP. Heu... Oui, d'accord, ça n'est qu'une introduction très superficielle à l'architecture REST. (en) Leonard Richardson, Sam Ruby.
Tout ça pour dire qu'il est possible d'accéder en lecture ou en modification à une base CouchDB avec n'importe quel outil supportant le protocole HTTP. Note: Pour commencer Installation. Erlang Programming Language. Example - couchdb4j - Example code - CouchDB library for Java using JSON. Unconventional architectures that might scale (I) | log4p. I’m experimenting with some unconventional architectural ideas (at least from a Java developers view) while designing a new architecture for Dutch broadcaster VPRO. In this series of blogposts I’ll try to explain some of the concepts; please feel free to point out issues/caveats I failed to notice! Some aims of the architecture ReliablePerformant & Scalable (VPRO is running high traffic sites like 3voor12 and cinema.nl)Language agnostic frontend (and preferably backend)Web OrientedMaintainableOffers option to create new concepts and deliver to yet unknown platform with existing content Conceptually I would like to solve this by creating ‘services’ (no, not talking about ‘classical’ SOA here) around specific domains.
For example everything about writing articles, like for instance workflow, would be in the ‘articles’ service. A service has its’ own master repository of the data (relational database, file system etc.) it operates on. Proof-of-Concept implementation based on CouchDB [php] Apache CouchDB and Java. Example - couchdb4j - Example code - CouchDB library for Java using JSON. Thoughts on development using CouchDB with Node.js | Tim Branyen @tbranyen. I was recently on a client facing project for Bocoup and needed to store millions of tweets that contained sentiment analysis of the text.
From this sentiment gathered along with other various metadata, I was tasked with creating a scalable API that could query/filter the data retrieved. This post will discuss the Why and the How behind my first experience with CouchDB and how I created a better development environment in order to deliver a polished product. Why CouchDB? First and foremost, I have a "background" with MySQL, SQLite and SQL Server from previous employment and college.
Nothing with NoSQL solutions. I had very simple requirements: Easily put data into the store && easily get data out of the store. I made the decision for CouchDB after having conversations with peers and feeling comfortable that I could complete this project with: The abundant support via the communityThe rich feature set for queryingThe local cluster hosting provider Cloudant Community Querying Cloudant Employees. Le Dev du futur. Polyfractal/elasticsearch-inquisitor. Elasticsearch.org Elasticsearch. Document oriented Store complex real world entities in Elasticsearch as structured JSON documents. All fields are indexed by default, and all the indices can be used in a single query, to return results at breath taking speed. Building Todo Lite | Couchbase - Mobile Developers. Todo Lite is an example app for collaborative task list management. It illustrates many of the Couchbase Lite features, including document CRUD, binary attachments, view queries, authentication, and sync.
Once you have it up and running you can read the source code to see examples of using Couchbase Lite in action. Open the Terminal application. Terminal is usually located in the Applications/Utilities folder. Move to your working directory Change to the directory that you want to store the ToDo Lite app in. For example: $ cd ~/dev Clone the example app project Clone the Todo Lite app: $ git clone Install the Couchbase Lite framework In the downloaded Couchbase Lite for iOS folder, find the CouchbaseLite.framework folder. Launch the app from Xcode Double click the ToDoLite.xcodeproj project to open in Xcode. Building a Real-time SMS Voting App: Scaling Node.js and CouchDB. This tutorial uses the Twilio Node.JS Module and the Twilio Rest Message API This is the third in a multi-part series of blog posts on building a real-time SMS and voice voting application using Node.js. In part one, we created the Node.js application and captured incoming votes over SMS. In part two, we created a real-time visualization of the voting using Socket.io.
In this blog post, we will discuss tweaking our app to scale to thousands of votes per second and millions of total votes. At the end of part two of this blog post series, I mentioned that while we had a working SMS voting app with a cool real-time visualization, it was not a solution that was going to scale. You’ll notice that information about the event (it’s name, etc) and all of the votes for that event are contained within the same document. If many votes arrived rapidly, our app as currently written will quickly fail. Well, one solution is to decouple event data from vote data. Modeling one-to-many relationships. Ie - Very fast web app development. Complete! We're on it Planned Offline by default: Hoodie stores data locally first and syncs them in the background when possible.
Great for mobile applications One-line signup/signin/signout/resend password and other account management functions Document-based storage with CouchDB: no building database schemas Event system: easily listen for changes in the data to trigger view updates JavaScript and JSON on every layer. Even the database queries are JS Convenient, super simple local dev setup that optionally even configures .dev-domains for you Deploy to Nodejitsu with minimal effort Flexible, npm-based plugin system in case you need more capability Send multi-part emails with attachments from the client Powerful, fine-grained sharing settings for even the tiniest piece of data Receive payments from your users Authenticate with other services (Twitter, GitHub, etc.) Hoodie hosting for even simpler deployment Remove jQuery dependency For you!
So how simple is Hoodie? 1. 2. 3. 4. 5. Store. Accéder à une base CouchDB via l'interface REST. Best NoSQL Databases - Features & Specs. Cassandra vs MongoDB vs CouchDB vs Redis vs Riak vs HBase vs Couchbase vs Hypertable vs ElasticSearch vs Accumulo vs VoltDB vs Scalaris comparison :: Software architect Kristof Kovacs.
While SQL databases are insanely useful tools, their monopoly in the last decades is coming to an end. And it's just time: I can't even count the things that were forced into relational databases, but never really fitted them. (That being said, relational databases will always be the best for the stuff that has relations.) But, the differences between NoSQL databases are much bigger than ever was between one SQL database and another.
This means that it is a bigger responsibility on software architects to choose the appropriate one for a project right at the beginning. In this light, here is a comparison of Open Source NOSQL databases: The most popular ones # Redis # Best used: For rapidly changing data with a foreseeable database size (should fit mostly in memory). For example: To store real-time stock prices. Cassandra # Best used: When you need to store data so huge that it doesn't fit on server, but still want a friendly familiar interface to it. MongoDB # ElasticSearch # CouchDB # Accumulo # Tutoriel sur l'installation et la configuration d'ElasticSearch (partie 1) ElasticSearch est un moteur de recherche open source qui fait beaucoup parler de lui.
Et pour cause, il possède un atout majeur : il suffit de quelques minutes à peine pour disposer d'un moteur de recherche clusterisé, automatiquement sauvegardé et répliqué, interrogeable via une API REST et proposant toutes les fonctionnalités d'un moteur de recherche dernière génération. Malgré une prise en main rapide et une documentation officielle très complète, l'utilisation d'ElasticSearch peut devenir rapidement complexe pour qui n'a jamais utilisé de moteur de recherche.
C'est pourquoi nous avons choisi de démarrer une nouvelle série d'articles, dans laquelle nous allons essayer de présenter les notions de base d'ElasticSearch et les fonctionnalités les plus utilisées de ce fantastique outil. Dans cet article, nous verrons comment installer et configurer ElasticSearch. ElasticSearch est un projet open source développé en Java sous licence Apache2. II-A. II-B. . $ cd elasticsearch-0.19.11/ $ . V-A. A Comparison Of NoSQL Database Management Systems And Models.
A previous version of this article was written by O.S. Tezer. Introduction When most people think of a database, they often envision the traditional relational database model that involves tables made up of rows and columns. While relational database management systems still handle the lion’s share of data on the internet, alternative data models have become more common in recent years as developers have sought workarounds to the relational model’s limitations. These non-relational database models, each with their own unique advantages, disadvantages, and use cases, have come to be categorized as NoSQL databases. This article will introduce you to a few of the more commonly used NoSQL database models.
Relational Databases and Their Limitations Databases are logically modeled clusters of information, or data. All database management systems have an underlying model that structures how data is stored and accessed. About NoSQL The label NoSQL itself has a rather fuzzy definition. Conclusion. Kanso documentation. Developing applications Guides to help you get started building apps with Kanso. Here are some recommended tools and approaches, but since apps just use normal HTML and JavaScript, there are a whole host of frameworks and libraries available to you that may not be listed here. For more information on the tools used by the community, browse the package repository. Getting started Videos Screencasts and other videos on developing applications with Kanso. CouchApps Reborn - A quick introduction to Kanso and the latest development tools Users and authentication CouchDB ships with a ready-made user database and cookie authentication built-in.
Permissions and validation Manage who can access which databases and ensure the data in your database is valid. User rolesDatabase securityValidate doc updatesGetting started with CouchTypes Forms The automatic rendering, parsing and validation of forms based on models or document type definitions. Frameworks Templating Testing Other Reference Installation Kanso Tools. Exploring Elasticsearch. 3.1 The Search API The Search API is provided by the _search endpoint available both on /index and /index/type paths. An index search would be at /myidx/_search while a search scoped to a specific document type would be at /myidx/mytype/_search.
The job of the Search API is to invoke a query with various parameters such as maximum result set size, result offset location, and a number of performance tuning options. The Search API also provides for both Faceting and Filtering, topics covered in subsequent chapters. Figure 3.1 shows a bare bones invocation of the Search API. F 3.1Simple Query The Query DSL is used to determine which documents match given criteria. Let’s try this out by firing up our HTTP client and issuing the request from figure 3.1. F 3.2Result of a Simple Query In the previous example the match query is about as simple as it gets in elasticsearch. . ⚙ This example requires you to load a dataset. F 3.3Using a Match Query to Search for a Phrase F 3.4A Fuzzy Search 3.2 Analysis. Add search features to your application, try Elasticsearch part 3 : attaching indexation to events « Diving deep into JEE. Now that we are able to index, we should think of when whe should trigger indexing tasks.
A simple answer would be : whenever some indexed data has changed. “Changed” means change cardinality (add/remove) or change existing data. Either we invoke indexing tasks whenever we code an action that changes data or we use an event model which listens to precise events. 1 – JPA event model If you use JPA as a persistence mechanism you can take advantage of its elegant mechanism. You can register an entity’s listeners either at class level or at method level via annotations. Below, an example: That model, although very elegant, doesn’t suit you if you use Spring because the persistence can’t use a bean instance. 2 – Hibernate event model When using Hibernate, without JPA, with Spring you can register instances, not only classes. PostCommitDeleteEventListener source code: This is one of the most non intrusive solution. 3 – Spring event model When you’re stuck with JPA you can use Spring event model.
Highcharts - Interactive JavaScript charts for your webpage. Exploring Elasticsearch. Les modules Node.js et NPM. Bower - A package manager for the web. Exploring Elasticsearch. Example - couchdb4j - Example code - CouchDB library for Java using JSON.
Getting Started with CouchDB. Réaliser une appli Web RIA avec ExtJS et Node.js. Installer Node.js. Un système pour réaliser des applications en ligne ou hors ligne. Node.js pour les développeurs jQuery. Les modules Node.js et NPM. HTTP_view_API. Query - How do I use a CouchDB username in a URL rewrite. NodeJS-CouchDB.