Search Results

Query optimization is crucial for every DBMS to enable fast execution of declarative queries. While most DBMS designs include cost-based query optimization, MongoDB chooses an execution plan by what we call “first past the post” (FPTP) query ...

This study aims to improve data consistency in NoSQL databases, which traditionally follow BASE properties instead of the strong consistency guaranteed by ACID principles in RDBMS. We have developed a four-stage server-side model specifically for ...

In the dynamic landscape of contemporary data-driven technologies, software systems depend significantly on vast datasets and ongoing data center operations that utilize diverse database systems to facilitate computationally intensive tasks. The ...

The resource requirements for managing the data for sophisticated applications have increased as big data technology has advanced. NoSQL (MongoDB) databases are being used increasingly frequently as a result of the desire for high-performance ...

Low-code is an approach to programming that seeks to enable the creation of artefacts by both programmers and non-programmers. It enables the rapid creation and delivery of applications with minimal effort to write in a programming language as ...

With the advent of IoT devices, cloud computing, accessible mobile devices, social networking sites and other advancements in technology a huge amount of data is being generated. NoSQL databases were evolved to provide a better storage capability, ...

One of the most significant issues associated with smart city applications is solid waste management, which has a negative impact on our society's health and the environment. In this paper, a smart waste bin management approach with novel architectural ...

Although there are numerous data modeling tools for relational databases, data modeling for NoSQL databases has seen another perspective. These databases (a) do not define any explicit schema, (b) store data in a denormalized manner, and (c) give ...

The widespread adoption of opinion mining and sentiment analysis in higher cognitive processes encourages the need for real time processing of social media data to capture the insights about user's sentiment polarity, user's opinions, and current ...

As the need for database management skills continues to grow, there is an increasing demand for education on database models and their corresponding query languages. However, the body of research addressing the difficulties encountered by novice ...

The proliferation of geospatial applications has tremendously increased the variety, velocity, and volume of spatial data that data stores have to manage. Traditional relational databases reveal limitations in handling such big ...

Climate change is one of the most significant challenges to every country's development, ravaging havoc on the lives of all people on this planet. Researchers have raised numerous research and studies of strategies for tracking climate change. The ...

NoSQL data modeling issues always rely on rules of thumb and require expert assistance to design the schema in a manner that optimizes the performance of the application. This paper seeks to develop a schema design model for a NoSQL database with the ...

A sudden change in global and regional environmental conditions has triggered the invasion of Sargassum algae in parts of the Caribbean coasts since 2014. To date, it has not been possible to revert the trend of seasonal Sargassum invasion, but ...

Real-time extract transform load (ETL) is the integral part of increasing demand of faster business decisions targeting large number of modern applications. Multi-source unstructured data stream extraction and transformation using disk data in ...

Social media are widely considered as reflecting to a great extent human behavior including thoughts, emotions, as well as reactions to events. Consequently social media analysis relies heavily on examining the interaction between accounts. This work ...

Most experts in the field of big data agree that the volume of data generated by various devices will increase exponentially in the future. Therefore, there is no doubt the relevance of solving the problem of data storage in such a way that access ...

With the abundance of database systems implementing various data models, such as the relational, graph, and document-oriented models, learners often find it challenging to understand the trade-offs between different data models and to decide which ...

The Goal in this paper is to propose a cultural heritage data model and evolve towards the creation of a framework based on MongoDB that will allow to manage a JSON model representing the cultural heritage of a city ICHC (Intelligent Cultural Heritage ...

MongoDB is one of the first commercial distributed databases that support causal consistency. Its implementation of causal consistency combines several research ideas for achieving scalability, fault tolerance, and security. Given its inherent ...