What is Data Science and Big Data? Discuss the different characteristics of Big Data. Explain different applications of Big Data in Smart Cities.

Data Science is an interdisciplinary field that combines statistics, mathematics, and computer science to extract meaningful insights and knowledge from large sets of data. It involves processes such as data collection, cleaning, analysis, and visualization. Data scientists use various techniques, including machine learning, statistical analysis, and data mining, to predict trends, uncover patterns, and support decision-making. It is widely used across industries like healthcare, finance, marketing, and technology to enable data-driven solutions and optimize business processes.

Big Data refers to large, complex datasets that traditional data-processing software is unable to handle efficiently. It can involve massive amounts of structured, semi-structured, and unstructured data that is generated at high velocity. This data is usually characterized by the “3Vs”—volume, variety, and velocity—but additional “Vs” such as veracity (accuracy) and value are also sometimes considered.

Volume refers to the vast amount of data generated daily, ranging from petabytes to exabytes. With the advent of the internet, IoT devices, social media, and other digital platforms, data is being generated at _____ ____ _________ _________ ______ ________ _________ ______ ____ __________.
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