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...

The popularity of NoSQL databases keeps growing and more companies have been moving away from relational databases to nonrelational NoSQL databases. In this paper, the partitioning of a relational data model of an inquiry system into semi-structured and relational data for storage in both SQL and NoSQL databases is shown. Furthermore, the CAP theorem will be applied to categorize the storing of...

In database technologies, some of the new issues increasingly debated are non-conventional applications, including NoSQL (Not only SQL) databases, which were initially created in response to the needs for better scalability, lower latency and higher flexibility in an era of bigdata and cloud computing. These non-functional aspects are the main reason for using NoSQL database. However, currently...

NoSQL databases were initially devised to support a few concrete extreme scale applications. Since the specificity and scale of the target systems justified the investment of manually crafting application code their limited query and indexing capabilities were not a major impediment. However, with a considerable number of mature alternatives now available there is an increasing willingness to u...

This paper reviews existing systems and describes a design of RDF database system that uses NoSQL database to store the data which aims to enhance performance of the Semantic Web applications. RDF data is a standard of data in the form of Subject-Predicate-Object called Triples and stored in database called Triple Store. Typically RDF database system uses SPARQL query language to query the RDF ...

Using NoSQL stores as storage layer for the execution of declarative query processing using XQuery provides a highlevel interface to process data in an optimized manner. The term NoSQL refers to a plethora of new stores which essentially trades off well-known ACID properties for higher availability or scalability, using techniques such as eventual consistency, horizontal scalability, efficient ...

Scalability is one of the main drivers of the NoSQL movement. As such, it encompasses distributed system coordination, failover, resource management and many other capabilities. It sounds like a big umbrella, and it is. Although it can hardly be said that NoSQL movement brought fundamentally new techniques into distributed data processing, it triggered an avalanche of practical studies and real...

The lack of an explicit data schema (schemaless) is one of the most attractive NoSQL database features for developers. Being schemaless, these databases provide a greater flexibility, as data with different structure can be stored for the same entity type, which in turn eases data evolution. This flexibility, however, should not be obtained at the expense of losing the benefits provided by havi...

Due to the large amount of data generated by user interactions on the Web, some companies are currently innovating in the domain of data management by designing their own systems. Many of them are referred to as NoSQL databases, standing for ’Not only SQL’. With their wide adoption will emerge new needs and data integration will certainly be one of them. In this paper, we adapt a framework enco...

Big Data scenarios often involve massive collections of nested data objects, typically referred to as “documents.” The challenges of document management at web scale have stimulated a recent trend towards the development of document-centric “NoSQL” data stores. Many query tasks naturally involve reasoning over data residing across NoSQL and relational “SQL” databases. Having data divided over s...