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Developing large scale software projects involves huge efforts at every stage of the software development life cycle (SDLC). This led researchers and practitioners to develop software processes and methodologies that will assist software developers and improve their operations. Software processes evolved and took multiple approaches to address the different issues of the SDLC. Recently big data analytics...
Big data analytics picked up pace to offer meaningful information based on analyzing big data. Big data have various distinctive characteristics that together have led to overwhelming the available infrastructures both hardware and software. Moreover, this led to creating further complexities when considering the software engineering aspects for big data applications development. Introducing cloud...
Many governments are considering adopting the smart city concept in their cities and implementing big data applications that support smart city components to reach the required level of sustainability and improve the living standards. Smart cities utilize multiple technologies to improve the performance of health, transportation, energy, education, and water services leading to higher levels of comfort...
Timely analytics over big data is a key factor for success in many business and service domains. Some examples of these domains include finance, transportation, energy, security, military, and emergency response. Several big data applications in these domains rely on fast and timely analytics based on available data to make quality decisions. This paper surveys real-time big data analytics applications...
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