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Big Data

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What’s Big Data? Big Data is a large volume of data structured or unstructured, that, due to its size, complexity, and speed in generating new information, can be difficult to compile, manage, process, and analyze without the use of the appropriate technology. This data can be used for automatic learning in machine learning projects, predictive modeling, and many other analysis applications. The main features of this data are known as the 3 Vs: Volume:   the high amount of data generated in different places, with relevance for making decisions. Variety:   the different forms, types, and sources of information. Velocity:   the speed with which data are generated, captured, stored, and processed. Although those are its main features, there are still other important aspects that can be associated with the idea: Veracity:   the importance of having reliable data. :  Value : t he idea that data should have commercial value and provide real benefits. Variability:   the idea that dataflow is

Internet of Things.

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  The Internet of Things Unfolding Revolution of the Internet of Things In an era where connectivity defines our daily lives, the Internet of Things (IoT) emerges as a pivotal force reshaping the world around us. From smart homes and wearable devices to industrial applications and healthcare innovations, IoT is weaving a web of interconnectedness that transcends traditional boundaries. This transformative technology heralds a future where the inanimate becomes intelligent, communicating seamlessly to enhance efficiency, convenience, and even our well-being. Understanding IoT: A Web of Connectivity At its core, IoT represents the interconnectedness of devices, systems, and networks, fostering communication and data exchange beyond human intervention. These 'things' encompass a wide array of entities, from household appliances and vehicles to sensors embedded in infrastructure, all enabled to collect, exchange, and act upon data. The Foundation: Connectivity and Sensors Ce