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Big Data

Big Data refers to extensive and complex datasets that traditional data processing applications cannot handle. These datasets are characterized by their volume, velocity, variety, and sometimes variability, making it challenging to process and analyze using traditional methods.

“big data” encompasses the technologies, tools, and processes used to manage, store, process, and derive insights from large and diverse datasets. Various industries and fields, such as healthcare, finance, retail, and more, utilize big data to extract valuable information, patterns, and trends that can lead to better decision-making, innovation, and optimization of processes.

Extensive data analysis often involves specialized tools and techniques like data mining, machine learning, predictive analytics, and data visualization to make sense of the vast information available.

The ultimate goal of working with big data is to extract meaningful insights, discover correlations, and gain a deeper understanding of various phenomena that can be beneficial for businesses, research, and societal advancements.

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