Aditi Dongre sur Twitter : "Focus on data usage and better design schemas with the help of : #MongoDB Data Modeling. MongoDB Data Modeling. Blog. The MongoDB Innovation Awards recognize applications that are transforming businesses, enabling organizations to actualize trends like Big Data and the Internet of Things and attain impressive scale and agility. MongoDB customers, community members and partners nominated hundreds of organizations, tools and applications for the award. Tonight, as part of MongoDB World 2014, we announced the following award winners. Analytics Genentech Genentech cut the time to introduce new genetic tests from 6-9 months to a matter of weeks. Testing instruments have gotten better at capturing complex and varied genetic data, while legacy technologies struggle to store it. eBay eBay uses MongoDB to help ensure smooth operations for their Marketplace and Paypal businesses.
Big Apple SumAll SumAll is a business intelligence tool for small and medium sized businesses with over 200,000 companies on its platform across 35+ countries. Cool Data Met Office Weather Project Data Science eHarmony Education LinkedIn Bosch. Installation de MongoDB « Blog Amine BETARI. Dans ce tutoriel, nous allons voir comment installer la base de données MongoDB sous le système d’exploitation Windows.
Dans un premier temps vous téléchargez l’archive qui convient pour votre système (32 ou bien 64) sur le lien suivant . Une fois fait, décompressez ce que vous avez téléchargé et renommez le dossier sous le nom mongo et le placez dans C:\Program Files, donc vous aurez dans ce chemin C:\Program Files\mongo Une petite astuce pour savoir la version de Windows que vous utilisez, tapez la commande suivante: wmic os get osarchitecture. Pour une meilleure utilisation via la ligne de commande, vous pouvez ajouter le chemin dans la variable d’environnement PATH : » ;C:\Program Files\mongo\bin ».
Notez que vous pouvez exécuter MongoDB dans n’importe quel dossier que vous choisissez. MongoDB exige un data folder pour stocker ces fichiers. Donc vous devriez créer à la racine du disque C:\ un dossier nommé data contenant deux sous dossiers : db et logs. Why Big Data Professionals Need to Learn MongoDB? - Edureka. The future belongs to enterprises that go beyond analyzing the growing data and extracting business value out of it. From IBM’s navigational database in the 1960s, we have come a long way to the widespread use of RDBMS.
Its edge over the flat file system resulted in extensive use. But when data is as big as it is today, RDBMS faces some serious analysis problems. This is where NoSQL databases comes in to play. MongoDB is one of the most popular NoSQL database with features that makes it a natural choice when it comes to implementing NoSQL database system. The Age of NoSQL Database: RDBMS falls short when it comes to handling Big data challenges like Count Distinct Queries. Why MongoDB? Rapid changes in applications and user & infrastructure characteristics are molding the data world to fit the NoSQL database model. It is the obvious industry choice when it comes to distributed document databases. MongoDB Industry Trends: – MongoDB.com Big Advantages with MongoDB Related Posts: Why Big Data Professionals Need to Learn MongoDB? - Edureka. MongoDB and Indexing: Best Practices Redux. Back in May last year, we talked about a set of best practices for indexing and MongoDB, focusing on performance.
Since then MongoDB 2.6 has arrived and it’s a good time to update that list. One Index per Query MongoDB can only use one index in any one query operation. Although MongoDB 2.6 has introduced index intersection, which allows more than one index to be used (specifically two indexes currently), there are a number of caveats on their use and one index, whether singular or compound, is still easier to manage and optimise around. One “Multi-Value” Operator per Query There’s a range of selectors we call “multi-value” operators. They can return records that match a variety of different values. “Multi-Value” Fields Last in an Index If you’re indexing a couple of fields, and one of the fields you expect to be queried using one of those “multi-value” operators we’ve previously mentioned, then it is best to place them at the end of the index. Move Logic Into the Schema Just Enough Indexes. Aggregation in MongoDB 2.6: Things Worth Knowing.
TL;DR: The powerful aggregation framework in MongoDB is even more powerful in MongoDB 2.6 The MongoDB 2.6 release improved aggregation framework (one of MongoDB's best features) considerably. We often hear from customers who are unaware of the aggregation framework, or unsure exactly why they should be using it. We frequently find them wrestling with unnecessarily complex and slow methods of solving problems that the aggregation framework is purpose built to solve. With this in mind, we'll take a moment to introduce aggregation before diving into the 2.6 changes. If you already understand the framework, feel free skip ahead; otherwise read on...
Introducing aggregation The aggregation framework in MongoDB has become the go-to tool for a range of problems which would traditionally have been solved with the map-reduce engine. Step by step We prefer to show rather than tell, so lets look at a worked example. (The program uses the Faker.js library to mock up records. 2.6 powers up the pipeline. MongoDB - Architectural Best Practices.
We would like to provide some guidelines for the use of MongoDB in deployments on our platform. If you have selected one of engineered servers several of these recommendations have already been implemented for you and I will denote that in each of the appropriate areas. I will cover selecting a deployment strategy to prepare for your MongoDB installation, the actual installation, and lastly some operational considerations and best practices.
Deployment StrategyWhen planning your deployment of MongoDB you should consider several key areas. The most important will be your current and anticipated data set size. This will be the primary driver for your choice of individual physical node resource needs as well as guide your sharding plans. Memory sizing MongoDB (like many data oriented applications) works best when the data set can reside in memory. Disk Type Clock speed and the amount of available processors becomes a consideration if you anticipate using map reduce. Replication Sharding. MongoDB Day Paris 2012 – 4 – Journaling and the storage engine – Dan Pasette, 10gen | Blog FastConnect. Cette conférence mettait en avant le système de persistance sur disque de Mongo ainsi que la journalisation mise en place pour assurer la reprise sur panne rapide et la consistance des données.
Le fonctionnement interne de ces mécanismes était aussi abordé. Dan Pasette a expliqué le système de pré-allocation agressif de Mongo qui réserve toujours un fichier en avance pour le stockage de chaque base de donnée afin de limiter la fragmentation du fichier et d’être prêt lorsque le précédent est plein. Sachant que la taille de chaque nouveau fichier alloué est le double du précédent jusqu’à atteindre la limite de 2gb, cela implique que pour une petite base de donnée une part importante de sa taille sur le disque n’est pas réellement utilisé.
L’overhead sur le disque est donc important ce qui perturbe parfois les nouveaux utilisateurs. Un autre élément qui rend parfois les utilisateurs confus est le mapping de tous les objets Mongo dans un segment de mémoire virtuelle. 'mongodb' on SlideShare. Pourquoi choisir MongoDB ? Depuis quelques mois maintenant, af83 utilise la base de données NoSQL MongoDB dans son pôle R&D. Mais pourquoi ce choix ? Qu'est ce que MongoDB ? MongoDB est un système de stockage de données NoSQL. En effet, ce n'est pas la peine de faire du SQL pour requêter votre base de donnée MongoDB. Le fait de n'avoir des données que sous forme de Hash revient à avoir une base de données dite orienté Documents. Les bases de données de ce type les plus connues sont CouchDB Riak et MongoDB. Les plus d'une base de données orienté Documents, SchemaLess ? La première grande utilité est qu'on est pas obligé d'avoir des scripts de migration pour définir et faire évoluer le format de sa base de données.
Dans cette même verve, il y a la création de tables. Le sharding de MongoDB MongoDB depuis sa version 1.2 intègre une gestion de sharding. GridFS MongoDB embarque avec lui un système de fichiers complet. Un système de requêtes évolué Alors qu'en SQL on aurait plus fait un. Big Data Archives | Fabien Vauchelles. Cellenza Blog Premiers pas avec MongoDB » Cellenza Blog. MongoDB est une base de données orientée document. On y retrouve la possibilité de stocker des collections d’objets dans des tables sans avoir de schéma prédéterminé.
Pour tous ceux qui ont de l’expérience avec les bases de données SQL, cette nouvelle approche peut être un peu déroutante au début. Je vais donc essayer de donner les premières pistes qui permettront à quiconque de débuter avec les bases de données NoSQL. Installation de MongoDB Avant toute chose, il faut installer le moteur de base en lui-même. Pour cela je propose une solution simple : Chocolatey. Lorsque Chocolatey est installé, on peut installer Mongo DB et MongoVue avec les commandes suivantes dans un command prompt : Contexte et exemples Afin d’illustrer cet article j’ai créé un projet dont seront tirés les exemples à suivre. L’application qui découle de ce projet est relativement simple et se décompose en trois parties. Ajout de la référence NuGet et création de la connexion Insertion de données Recherche Suppression.
Admin UIs. MongoDB does not include a GUI-style administrative interface. Instead most administration is done from command line tools such as the mongo shell. However some UI’s are available as separate community projects and are listed below. Some are focused on administration, while some focus on data viewing. Tools Articles about 3rd-Party Admin Tools MongoDB Management Service MongoDB Management Service (MMS) is a cloud-based suite of services for managing MongoDB deployments with monitoring and backup capabilities.
Edda Edda is a log visualizer. See also: Github source Fang of Mongo A web-based user interface for MongoDB build with django and jquery. It will allow you to explore content of MongoDB with simple but (hopefully) pleasant user interface. Features: To track progress on twitter: @fangofmongo PHPMoAdmin PHPMoAdmin is a MongoDB administration tool for PHP built on a stripped-down version of the Vork high-performance framework. RockMongo RockMongo is a MongoDB management tool, written in PHP 5. Le NoSQL dans le domaine géospatial : MongoDB avec JavaScript ou Python, ArcGIS et Quantum Gis. Après une première approche des bases de données NoSQL (Le NoSQL dans le domaine géospatial, approche préliminaire en Python avec SimpleGeo.), nous allons nous intéresser ici à l'une d'entre elles, MongoDB, Open Source et développée par la société 10gen (www.10gen.com/).
Cette société offre les supports commerciaux. Elle est très intéressante pour les sigistes car depuis les dernières versions, elle possède nativement des fonctions d'indexation géospatiale. Il existe aussi une extension pour Quantum GIS, MongoDB Layer (geokoder.com/mongodb-plugin-for-quantum-gis, disponible depuis le menu Extension/Installateur d'extensions Python). Le souhait de 10gen est, à terme, de positionner MongoDB face à PostGIS en mettant en avant une plus grande facilité d’utilisation (blog.xebia.fr/2010/04/30/nosql-europe-bases-de-donnees-orientees-documents-et-mongodb/).
Présentation Ces fonctionnalités détaillées sont décrites dans www.mongodb.org/display/DOCSFR/Home (Très) Rapide introduction aux principes. MongoDB for DBAs: Introduction — CrocoDillon. MongoDB is so awesome to offer free training at their MongoDB University, so I joined their course “MongoDB for DBAs” or MongoDB for database administrators. I’m definitely not a database administrator, but their “MongoDB for Node.js Developers” doesn’t start until January 13th, 2014… and I just couldn’t wait that long. This article will be the first in a series of articles covering what I learn each week.
The first week is an introduction to MongoDB. You can watch the lectures of week 1 on YouTube. Concepts and philosophy Why would you want to use MongoDB while we have relational databases? One reason could be because relational databases were developed in ancient times and didn’t scale well with modern technology. The problem is all those boxes are separate servers and need to communicate over the network, which introduces latency, which makes things slow. The idea is if a product doesn’t have any features it might scale really well, but if it has lots of features that becomes hard. . . . . Capacity Planning.
MongoDB: Architectural Best Practices. With the launch of our MongoDB solutions, developers can provision powerful, optimized, horizontally scaling NoSQL database clusters in real-time on bare metal infrastructure in SoftLayer data centers around the world. We worked tirelessly with our friends at 10gen — the creators of MongoDB — to build and tweak hardware and software configurations that enable peak MongoDB performance, and the resulting platform is pretty amazing. As Duke mentioned in his blog post, those efforts followed 10Gen's MongoDB best practices, but what he didn't mention was that we created some architectural best practices of our own for MongoDB in deployments on our platform. The MongoDB engineered servers that you order from SoftLayer already implement several of the recommendations you'll see below, and I'll note which have been incorporated as we go through them.
Given the scope of the topic, it's probably easiest to break down this guide into a few sections to make it a little more digestible. Installation. MongoDB Best Practices. Hello from the Engine Yard Data Team! We wanted to let you know what we've been up to since the last time we blogged. When the team was formed earlier in the year, our first job was to expand our stack with MongoDB. However, we felt it would be a disservice to you, our customers, if we added a NoSQL datastore into the stack without first updating the relational databases that we support. So, we decided to pause MongoDB development to update both MySQL and PostgreSQL. As of today, MySQL 5.5 has gone into Beta, PostgreSQL 9.1 Beta is coming soon, and we plan to GA both releases in Q1 2012. As we focus more on MongoDB, we have assisted several customers with custom MongoDB environments. If you have a custom installation of MongoDB, please make sure to check your installation against this post.
General NoSQL best practices Many articles have been written to address the NoSQL selection process. Test exhaustively Don't assume that what worked for your RDBMS will translate MongoDB Best Practices. Visual Guide to NoSQL Systems - Nathan Hurst's Blog. There are so many NoSQL systems these days that it's hard to get a quick overview of the major trade-offs involved when evaluating relational and non-relational systems in non-single-server environments. I've developed this visual primer with quite a lot of help (see credits at the end), and it's still a work in progress, so let me know if you see anything misplaced or missing, and I'll fix it. Without further ado, here's what you came here for (and further explanation after the visual). Note: RDBMSs (MySQL, Postgres, etc) are only featured here for comparison purposes. Also, some of these systems can vary their features by configuration (I use the default configuration here, but will try to delve into others later).
As you can see, there are three primary concerns you must balance when choosing a data management system: consistency, availability, and partition tolerance. Consistency means that each client always has the same view of the data. Self promotion and Credits. NoSQL databases: The Cost of Migration :: myNoSQL. MongoDB Best Practices.
MongoDB en pratique. Se préparer pour son premier déploiement MongoDB : Capacity Planning et Monitoring. Sharding Introduction — MongoDB Manual 2.6.1. Monitoring for MongoDB — MongoDB Manual 2.6.1. Se préparer pour son premier déploiement MongoDB : Capacity Planning et Monitoring. Arya a MongoDB based Search Engine - Scott Reynolds. Riak Compared to MongoDB. So Many Ways to Start Your Mongo. NoSQL Data Modeling Techniques « Highly Scalable Blog.