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Internet corporations and other types of enterprises are quickly implementing NoSQL technology rather than merely SQL because of the introduction of Big Data. The simplicity of the design, the capacity to scale horizontally, and tighter control over availability are some benefits. Because of the schema-free data model they use, more businesses are beginning to recognize that NoSQL databases are a superior method for managing bulk amount of structured, semi-structured, and unstructured data currently being collected and handled. As a result, NoSQL database is increasingly viewed as a viable alternative to relational databases. For instance, NoSQL database is regularly utilized to gather and store data about social networking sites. This article targets to introduce the ideas that underpin NoSQL, as well as a review of the pertinent literature, an overview of the many types of NoSQL databases, and reasons both for and against the use of NoSQL. To analyze the known advantages of NoSQL and demonstrate the distinctions between the SQL and NoSQL methods, a simple SWOT analysis was performed. In the final part of the article, we draw some comparative studies of the NoSQL database and conclusions to broaden the scope of our previous work.

To integrate the information from heterogeneous data sources and give it a unified representation to the users is known as Information Integration. There are many application architectures that are designed for Enterprise Information Integration for solving the problems of semantic heterogeneity (the modeling problem) and query optimization (the querying problem) in Integration Architecture. Architectures such as Mediator-based in which information is coming from disseminate sources, Agentbased Architectures that have various software agents specialized in specific tasks work together to provide various integration services. Federated Architectures in which data is integrated through message-oriented middle wares. Enterprise Information Integration depends on sophisticated technologies and complex architectures. However, Query Optimization/Management is the major area of research in XML based integration systems. Since XQuery precludes the features of traditional SQL or OQL as it deals with the structured and semi-structured data sources. Focus is to present a solution to the problem of query optimization in XML-based data integration in hybrid peer to peer data management environment. The contributions to this paper are: providing a conceptual frame work for Information Integration System based on XML query language, formulation of rewriting algorithm for XML query and implementation of the proposed algorithm. General TermsData Integration Services, distributed database management system, enterprise and Information Services.