With various advancements in the field of computing, scalability, resource utilization and power savings is being given higher priorities. NoSQL database and cloud computing goes hand in hand when compared with SQL databases. The main advantage of NoSQL databases is agility. The demand for NoSQL database is growing because most of the cloud applications built , demands high availability , speed...

One of the key advances in resolving the “big-data” problem has been the emergence of an alternative database technology. Today, classic RDBMS are complemented by a rich set of alternative Data Management Systems (DMS) specially designed to handle the volume, variety, velocity and variability of Big Data collections; these DMS include NoSQL, NewSQL and Search-based systems. NewSQL is a class of...

Graph databases and NoSQL databases, two very important topics in Big Data, have gained popularity in recent years due to their unique characteristics in their horizontally scale-out capability and flexible schema or schema-free design. The recent release of OWL-DBC , an adaptor between Oracle Spatial and Graph 2 and the TrOWL reasoner [2, 1], has built a tight integration between one of the le...

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...

Popular web applications like Facebook, Google Search Engine or Amazon have to face major challenges. First of all, the volume of data that has to be managed by these applications goes far beyond the limits of traditional data bases. As a reaction, a new generation of very scalable storing solutions, NoSQL data stores, has been design by the major Internet companies. Another important challenge...

Owing to the huge amount of data in websites to be analysed, web innovative services are required to support them with high scalability and availability. The main reason of using NoSQL databases is for considering the huge amount of data and expressing large-scale distributed computations using Map-Reduce techniques. To enhance the service quality of customers and solve the problems of the huge...

The growing popularity of massively accessed Web applications that store and analyze large amounts of data, being Facebook, Twitter and Google Search some prominent examples of such applications, have posed new requirements that greatly challenge traditional RDBMS. In response to this reality, a new way of creating and manipulating data stores, known as NoSQL databases, has arisen. This paper r...

NoSQL databases become more and more popular, not only in typical Internet applications. They allow to store large volumes of data (so called big data), while ensuring fast retrieving and fast appending. The main disadvantage of NoSQL databases is that they do not use relational model of data and usually do not offer any declarative query language similar to SQL. This raises the question how No...

NoSQL systems rose alongside internet companies, which have different challenges in dealing with data that the traditional RDBMS solutions could not cope with. Indeed, in order to handle efficiently the continuous growth of data, NoSQL technologies feature dynamic horizontal scaling rather than vertical scaling. To date few studies address On-Line Analytical Processing challenges and solutions ...