New requirements are arising in environments where we have higher volumes of data with high operation rates, agile development and cloud computing. In recent years, a growing number of companies have adopted various types of nonrelational database, commonly referred to as NoSQL database. This reflects the growing interactivity of applications which are becoming more networked and social, drivin...

Big Data are a paradigm through which valuable information is achieved the analysis of large amount data. The sources these data can be varied, from streams that will processed in real time, to exploitation transactional stored databases. For this last use, due their scalability, NoSQL databases, like mongoDB, DBMS oriented documents, have been consolidated as powerful tool for storage and proc...

Not only SQL (NoSQL) databases are becoming increasingly popular and have some interesting strengths such as scalability and flexibility. In this paper, we investigate on the use of NoSQL systems for implementing OLAP (On-Line Analytical Processing) systems. More precisely, we are interested in instantiating OLAP systems (from the conceptual level to the logical level) and instantiating an aggr...

The World Wide Web infrastructure together with its more than 2 billion users enables to store information at a rate that has never been achieved before. This is mainly due to the will of storing almost all end-user interactions performed on some web applications. In order to reply to scalability and availability constraints, many web companies involved in this process recently started to desig...

NoSQL databases outperform the traditional RDBMS due to their faster retrieval of large volumes data, scalability, and high performance. The need for these has been increasing in recent years because data collection is growing tremendously. Structured, unstructured, semi- structured storage allowed NoSQL, which not possible a database. needs compensate with its security feature amazing function...

This paper mainly studies the design of an efficient social network log analysis program based on the distributed database, MongoDB. The so-called social network log analysis is to gather and store the log information generated when users access the social network pages, and then transform, clean and excavate. This article compares MongoDB database with traditional relational database, analyzes...

We have created a database to analyze digital data to find connections between two or more different secondary storage devices. We used MongoDB and created a document for each secondary-storage image and each unique sector. Ingesting the secondary-storage images took so much time that we had to carefully consider all the reasons for the slow down and experiment on different ways to insert the d...

Accessing legacy data as virtual RDF stores is a key issue in the building of the Web of Data. In recent years, the MongoDB database has become a popular actor in the NoSQL market, making it a significant potential contributor to the Web of Linked Data. Therefore, in this paper we address the question of how to access arbitrary MongoDB documents with SPARQL. We propose a two-step method to (i) ...

Abstract NoSQL technologies have become a common component in many information systems and software applications. These are focused on performance, enabling scalable processing of large volumes structured unstructured data. Unfortunately, most developments over consider security as an afterthought, putting at risk personal data individuals potentially causing severe economic loses well reputati...

In the current context of Big Data, a multitude new NoSQL solutions for storing, managing, and extracting information patterns from semi-structured data have been proposed implemented. These were developed to relieve issue rigid structures present in relational databases, by introducing flexible schema design. As generated different sources devices, especially IoT sensors actuators, use either ...