A data store is a repository for persistently storing and managing collections of data which include not just repositories like databases, but also simpler store types such as simple files, emails, etc.
A database is a collection of data that is managed by a database management system (DBMS) (though the term can sometime more generally refer to any collection of data that is stored and accessed electronically). A file is a series of bytes that is managed by a file system. Thus, any database or file is a series of bytes that, once stored, is called a data store.
MATLAB and Cloud Storage systems like VMware, Firefox OS use datastore as a term for abstracting collections of data inside their respective applications.
Data store can refer to a broad class of storage systems including:
Paper files
Simple files like a spreadsheet
s
Email storage systems (both server and client systems)
Databases
Relational databases, based on the relational model of data
Object-oriented databases. They can save objects of an object-oriented design.
Cette page est générée automatiquement et peut contenir des informations qui ne sont pas correctes, complètes, à jour ou pertinentes par rapport à votre recherche. Il en va de même pour toutes les autres pages de ce site. Veillez à vérifier les informations auprès des sources officielles de l'EPFL.
This course provides a deep understanding of the concepts behind data management systems. It covers fundamental data management topics such as system architecture, data models, query processing and op
En informatique et en bases de données, NoSQL désigne une famille de systèmes de gestion de base de données (SGBD) qui s'écarte du paradigme classique des bases relationnelles. L'explicitation la plus populaire de l'acronyme est Not only SQL (« pas seulement SQL » en anglais) même si cette interprétation peut être discutée. La définition exacte de la famille des SGBD NoSQL reste sujette à débat. Le terme se rattache autant à des caractéristiques techniques qu'à une génération historique de SGBD qui a émergé autour des années 2010.
Industry and academia are continuously becoming more data-driven and data-intensive, relying on the analysis of a wide variety of datasets to gain insights. At the same time, data variety increases continuously across multiple axes. First, data comes in mu ...
EPFL2017
Over the past 40 years, hard disks, the traditional building block of storage systems, have become increasingly slower when compared to the other system components such as the main memory and the CPU. Hard disks face mechanical constraints that cause their ...