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Governments and cities are increasingly launching smart city (SC) schemes to address the challenges posed by rapid urbanization and population growth in municipalities. Smart cities utilize data from various sources within a metropolis to enhance urban development, promote qualitative lifestyles, and focus on economic and environmental sustainability. Big data analytics (BDA) plays a crucial role in collecting and analyzing vast amounts of data from SC infrastructures, enabling effective management and implementation of smart city initiatives. BDA helps explore data collected through Internet of Things (IoT) devices and sensors, identifying trends, and making appropriate changes, ultimately making smart cities more efficient, sustainable, and beneficial for their inhabitants. However, big data in SC also presents potential risks and challenges related to urban security and the well-being of residents.