- published: 19 Feb 2013
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A NoSQL (originally referring to "non SQL" or "non relational" ) database provides a mechanism for storage and retrieval of data which is modeled in means other than the tabular relations used in relational databases. Such databases have existed since the late 1960s, but did not obtain the "NoSQL" moniker until a surge of popularity in the early twenty-first century, triggered by the needs of Web 2.0 companies such as Facebook, Google and Amazon.com.
Motivations for this approach include: simplicity of design, simpler "horizontal" scaling to clusters of machines (which is a problem for relational databases), and finer control over availability. The data structures used by NoSQL databases (e.g. key-value, wide column, graph, or document) are different from those used by default in relational databases, making some operations faster in NoSQL. The particular suitability of a given NoSQL database depends on the problem it must solve. Sometimes the data structures used by NoSQL databases are also viewed as "more flexible" than relational database tables.
This presentation was recorded at GOTO Aarhus 2012 http://gotocon.com Martin Fowler - Author, Speaker, Consultant & General Loud-mouth on Software Development ABSTRACT Martin gives a rapid introduction to NoSQL databases: where they came from, the nature of the data models they use, and the different way you have to think about consistency. From this he outlines what kinds of circumstances you should consider using them, why they will not make relational databases obsolete, and the important consequence of polyglot persistence. https://twitter.com/gotocon https://www.facebook.com/GOTOConference http://gotocon.com
In this video, Director of Product & Technology for Rackspace, Alan Perkins discusses the differences between relational databases and NoSql databases. This video is part of the CloudU Big Data Massive Open Online Course (MOOC) offered by Rackspace. Cloud University aka CloudU is a vendor neutral cloud education program available at http://cloudu.rackspace.com.
http://zerotoprotraining.com This video explains what is NoSQL Database. Also you will learn the differences between NoSQL and Relational databases Category: Databases Tags: NoSQL, Overview
This is a beginners guide to NoSQL databases. We will talk about what they are, the advantages and disadvantages of NoSQL and relational databases and also the different types of NoSQL including document databases, column stores, key-value stores and graph databases Suggested: MongoDB In 30 Minutes: https://www.youtube.com/watch?v=pWbMrx5rVBE MongoDB 12 Project Course: http://www.traversymedia.com/course/projects-in-mongodb-learn-mongodb-building-ten-projects/ SUPPORT: We spend massive amounts of time creating these free videos, please donate to show your support: http://www.paypal.me/traversymedia http://www.patreon.com/traversymedia FOLLOW TRAVERSY MEDIA: http://www.facebook.com/traversymedia http://www.twitter.com/traversymedia http://www.linkedin.com/bradtraversy
http://www.guru99.com. This tutorial introduces NOSQL and compares it with Relational (SQL) Databases
Learn how NoSQL databases work and learn when NoSQL is a better option than standard relational databases, and just as importantly when it’s not. We will also walk through some of the popular forms of NoSQL databases and how you can access them for your applications in this NoSQL Tutorial for Beginners. Link to show notes: https://www.crondose.com/2016/05/nosql-databases-developers-guide/
What is unique about a NoSQL database? In this video we talk about some of the features that make a NoSQL an excellent place for scalability and flexibility.
Application developers must support unprecedented rates of change – functionality must rapidly evolve to meet customer needs and respond to competitive pressures. To address these realities, developers are increasingly selecting NoSQL document-oriented databases (e.g. Azure DocumentDB, MongoDB, CouchDB) for schema-free, scalable and high performance data storage. One of the oft-cited benefits of NoSQL solutions are that they allow for the storage of schema less data. In reality, however, NoSQL solutions provide for schema flexibility, allowing the system to store data as it comes in, permitting dissimilar structures and encouraging seamless data model iteration. While schema flexibility makes it easy to embrace changes to your data model, data modeling is still important in NoSQL systems. ...
Brief description of Redis, Tabular, Native JSON and Orient NoSQL Databases. Today, high and free scheme key/value storage. Most common software using these new feature of Databases: MongoDB, CouchDB, RedisDB, OrientDB, CassandraDB, GT.M, Cache, GlobalDB, ArangoDB, AWS and others.
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