Big data analytics for smart cities: Review

Data science is driving major technological and operational improvements in cities by providing the necessary automation and intelligence to municipal operations. This work focuses on "Smart City Data Science," This is the process of searching for patterns and insights in municipal data from sensors and internet-connected devices to enhance decision-making and offer residents better services. Machine learning analytical modeling enhances the computer process's intelligence and actionability for real-world services, allowing for a deeper knowledge of municipal data. The report also includes a list of ten open research questions for the creation of data-driven smart cities. The key concepts, assessment methods, instruments, measurements, algorithm kinds, benefits, and drawbacks are also examined. Lastly, some of the difficulties, unsolved problems, and promising directions for further study are highlighted in large data handling strategies in smart cities.