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NoSQL Data Modeling Techniques « Highly Scalable Blog

NoSQL Data Modeling Techniques « Highly Scalable Blog
NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. This aspect of NoSQL is well-studied both in practice and theory because specific non-functional properties are often the main justification for NoSQL usage and fundamental results on distributed systems like the CAP theorem apply well to NoSQL systems. At the same time, NoSQL data modeling is not so well studied and lacks the systematic theory found in relational databases. In this article I provide a short comparison of NoSQL system families from the data modeling point of view and digest several common modeling techniques. I would like to thank Daniel Kirkdorffer who reviewed the article and cleaned up the grammar. To explore data modeling techniques, we have to start with a more or less systematic view of NoSQL data models that preferably reveals trends and interconnections. Key-Value storage is a very simplistic, but very powerful model. Conceptual Techniques

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So Many Ways to Start Your Mongo Starting up a vanilla MongoDB instance is super easy, it just needs a port it can listen on and a directory where it can save your info. By default, Mongo listens on port 27017, which should work fine (it’s not a very commonly used port). We’ll create a new directory for database files: And then start up our database: 1.$ cd 2.$ bin/mongod --dbpath ~/dbs/mydb …and you’ll see a bunch of output: 01.$ bin/mongod --dbpath ~/dbs/mydb 02.Fri Apr 23 11:59:07 Mongo DB : starting : pid = 9831 port = 27017 dbpath = /data/db/ master = 0 slave = 0 32-bit 04.** NOTE: when using MongoDB 32 bit, you are limited to about 2 gigabytes of data 07.Fri Apr 23 11:59:07 db version v1.5.1-pre-, pdfile version 4.5 08.Fri Apr 23 11:59:07 git version: f86d93fd949777d5fbe00bf9784ec0947d6e75b9 09.Fri Apr 23 11:59:07 sys info: Linux ubuntu 2.6.31-15-generic 10.Fri Apr 23 11:59:07 waiting for connections on port 27017 11.Fri Apr 23 11:59:07 web admin interface listening on port 28017 Set up a slave, Maeve 1.$ mkdir ~/dbs/slave2

SQL is 43 years old - here’s 8 reasons we still use it today | The Official SQLizer Blog In this year’s Stack Overflow Developer’s Survey 64,000 developers laid bare their innermost developer secrets. How they learn, the tools they use, what they want - it’s all there. The whole survey is a fascinating foray into the brains of developers and the global software industry. But one thing struck us: SQL is the second-most common programming language, used by 50% of all developers (Web, Desktop, Sysadmin/DevOps, Data Scientist/Engineer) and beaten only by JavaScript - a language half the age of SQL. Some of the most common programming languages, Stack Overflow 2017 That’s quite an achievement for a 43-year old language, especially at the exponential rate of change so common in software and technology. And yes, it’s true C and C++ are both nearly as old or older than SQL, but even combined they still aren’t as prevalent as SQL is today. The database technology developers use, Stack Overflow 2017 The most loved database technologies, Stack Overflow 2017 So why do we still use SQL? 1.

Des façons d’apprendre à coder gratuitement Apprendre à coder est l’une des choses les plus intéressantes que vous pourriez faire ! Par exemple, si vous êtes un designer, appréhender un nouveau langage de programmation Web va vous aider à comprendre ce que vous venez de créer, et si vous cherchez à construire votre société, être un responsable technique peut rendre les choses plus facile pour vous. Peu importe la raison pour laquelle vous voulez apprendre à coder, la seule chose que vous avez vraiment besoin, c’est d’être curieux. En revanche, si vous êtes un novice en la matière et que vous ne savez pas par où commencer, je vais vous présenter dans cet article différentes façons de commencer à coder gratuitement. Cette liste a été complétée par vos réponses, suite à un tweet et publication Google+ que j’ai publiés (merci à tous ceux qui ont répondu !). Note : Dans la série ci-dessous de nombreux sites seront en anglais Vous désirez connaître les technologies qui font marcher le Web ? C’est vraiment hallucinant ! Un mot, foncez !

Riak Compared to MongoDB This is intended to be a brief, objective and technical comparison of Riak and MongoDB. The MongoDB version described is 2.2.x. The Riak version described is Riak 1.2.x. If you feel this comparison is unfaithful at all for whatever reason, please fix it or send an email to docs@basho.com. At A Very High Level Riak is Apache 2.0 licensed; MongoDB is distributed under the AGPLRiak is written primarily in Erlang with some bits in C; MongoDB is written in C++ Feature/Capability Comparison The table below gives a high level comparison of Riak and MongoDB features/capabilities. To SQL or NoSQL? That’s the database question Poke around the infrastructure of any startup website or mobile app these days, and you're bound to find something other than a relational database doing much of the heavy lifting. Take, for example, the Boston-based startup Wanderu. This bus- and train-focused travel deal site launched about three years ago. And fed by a Web-generated glut of unstructured data (bus schedules on PDFs, anyone?), Wanderu is powered by MongoDB, a "NoSQL" database—not by Structured Query Language (SQL) calls against traditional tables and rows. But why is that? Today, the database landscape continues to become increasingly complicated. The genesis of NoSQL In the beginning—about 12 years ago—there was structured data, and it was good. But that data was live, stored in operational systems like Enterprise Resource Planning (ERP) setups. SQL-based relational servers are built to handle the demands of financial transactions, designed around the tenets of ACID: Atomicity, Consistency, Isolation, and Durability.

Créer un thème de A à Z - Tutoriel WordPress Se préparer pour son premier déploiement MongoDB : Capacity Planning et Monitoring Vous venez d'achever le développement de votre nouvelle application s'appuyant sur MongoDB et vous vous préparez maintenant à déployer en production. Il y a quelques questions sur lesquelles vous devez être en train de vous pencher, en compagnie de vos équipes d'exploitation : Quelles sont les bonnes pratiques en matière de déploiement ? Quelles sont les métriques clés à superviser pour s'assurer que l'application se conforme aux niveaux de service attendus ? Quand pourrez-vous savoir qu'il est nécessaire d'ajouter des shards ? Cet article couvre les sujets du matériel à sélectionner, du scaling, de la haute disponibilité (HA) et du monitoring. Est-ce que déployer MongoDB est différent du déploiement d'un RDBMS ? Vous vous apercevrez qu'une base de données orientée document telle que MongoDB partage avec les bases du monde relationnel beaucoup de concepts, de manipulations, de stratégies et de procédures, beaucoup de choses avec lesquelles vous êtes certainement déjà familiers.

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