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By Noa Attias
Big Data is a term encapsulating the vast and complex data sets that are beyond the scope of traditional databases in terms of size, speed, and variety. It’s characterized by several key attributes:
Big Data’s growth is fueled by advancements in digital technologies, such as connectivity, mobility, IoT, and AI. These innovations have led to a significant increase in data availability and have spawned new tools to collect, process, and analyze data effectively.
In essence, Big Data represents a paradigm shift in data management and analysis, highlighting the transition from limited, structured data sets to massive, varied, and rapidly evolving data landscapes. It’s leveraged in applications like machine learning, predictive modeling, and advanced analytics to solve complex business problems and facilitate informed decision-making.