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 ...

Processing large volumes of RDF data requires sophisticated tools. In recent years, much effort was spent on optimizing native RDF stores and on repurposing relational query engines for large-scale RDF processing. Concurrently, a number of new data management systems— regrouped under the NoSQL (for “not only SQL”) umbrella—rapidly rose to prominence and represent today a popular alternative to ...

NoSQL applications often use denormalized databases in order to meet performance goals, but this introduces complications. In particular, application evolution may demand changes in the underlying database, which may in turn require further application revisions. The NoSQL DBMS itself can do little to aid in this process, as it has no understanding of application-level denormalization. In this ...

The aim of this work is to understand more closely where the border lies between relational and Not Only Structured Query Language (NoSQL) platform as concerns Enterprise Content Management (ECM) area. Another objective (closely related to the first one) is to specify the conceptual architecture of the distributed ECM system. The authors specify the model of the prototype ECM system and compare...

Nowadays, NoSQL databases [1-3] are being used in several emerging application fields (including social network management, e-health and e-government systems, big-science projects) to store data with unconventional types, and specifically big data [4-6]. Furthermore, those are live application domains where the evolution of the stored NoSQL data and of their structure has to keep the pace of th...

To the best of our knowledge, there is no generic mapping from conceptual schemas to NoSQL physical schemas. This paper tackles such problem in the context of geographic databases. We discuss the solution of mapping conceptual schemas to hybrid relational/NoSQL physical schemas. Resumo. Até onde pudemos determinar, não existem ainda propostas genéricas para produzir esquemas fı́sicos para estrut...

Over the years, NoSQL Database Management Systems (DBMS) have been adopted as an alternative to the constraints of relational/SQL DBMSs. In order to demonstrate their feasibility, works have evaluated NoSQL DBMSs regarding some performance metrics, but energy consumption has not been assessed. Indeed, energy consumption is an issue that should not be neglected due to the rise of energy costs an...