Every day, large-scale data are continuously generated on social media as streams, such as
Twitter, which inform us about all events around the world in real-time. Notably, Twitter is …

With the development of intelligent transport systems in cities, the efficient use of big data is
becoming increasingly important. The aim of this paper is to focus on specific sources of Big …

Leading cloud service providers (CSPs) provide a plethora of services to manage big data.
The goal is to ingest both structured and unstructured data through a pipeline and perform …

Thanks to continuously evolving data management solutions, data-driven strategies are
considered the main success factor in many domains. These strategies consider data as the …

As the global population increases rapidly, so does the need for fishing products.
Aquaculture is well-developed in Asian countries but is underdeveloped in countries that …

It is crucial for online service providers like Netflix to offer their viewers a selection of top-
notch movies. In a bipartite network, this kind of challenge can be thought of as a ranking …

Reducing latency has become the focus of task scheduling research in distributed big data
stream computing systems. Currently, most task schedulers in big data stream computing …

Generally, batch processing concurrently executes multiple jobs in sequential order,
breaking down large tasks into smaller parts for efficient offline processing, reducing …

Accepted: 8 November 2022 The last two decades have witnessed an exponential data
generation in tremendous amounts. The digital transformation in many domains leads to …

Neste cenário de crescimento exponencial nos dados globais, a habilidade de
processamento e análise torna-se vital para empresas e organizações. Este artigo tem por …