0000-0003-4121-6169Survey for Big Data Platforms and Resources Management for Smart Cities
Currently, smart cities are a hot topic and their tendency will be to optimize resources and promote efficient strategies for the preservation of the planet as well as to increase the quality of life of its inhabitants. In this sense, this research presents an initial component of investigation about Big Data Platforms for Smart Cities in order to be implemented in integrated and innovative solutions for development in urban centers. For this, a survey was carried out on “Big Data Platforms”, “Data Science Platforms”, “Security & Privacy” and “Resources Management”. The extraction of the results of this research was done through the SCOPUS repository in articles from the last 5 years to conclude what has been done so far and what will be the trends in the coming years, define proposals for possible solutions for smart cities and identify the right technologies for the design of a smart city architecture.
Software tools for conducting real-time information processing and visualization in industry: An up-to-date review
The processing of information in real-time (through the processing of complex events) has become an essential task for the optimal functioning of manufacturing plants. Only in this way can artificial intelligence, data extraction, and even business intelligence techniques be applied, and the data produced daily be used in a beneficent way, enhancing automation processes and improving service delivery. Therefore, professionals and researchers need a wide range of tools to extract, transform, and load data in real-time efficiently. Additionally, the same tool supports or at least facilitates the visualization of this data intuitively and interactively. The review presented in this document aims to provide an up-to-date review of the various tools available to perform these tasks. Of the selected tools, a brief description of how they work, as well as the advantages and disadvantages of their use, will be presented. Furthermore, a critical analysis of overall operation and performance will be presented. Finally, a hybrid architecture that aims to synergize all tools and technologies is presented and discussed.
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