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Big data refers to extremely large datasets that are difficult to process using traditional computational methods. This term encompasses data sets with sizes beyond the capability of typical software tools to capture, store, manage, and analyze efficiently.

For example, consider a social media platform like Facebook. It generates vast amounts of data every second from user interactions, such as likes, comments, and shares. Analyzing this big data helps the platform understand user behavior and preferences, enabling targeted advertising and content recommendations.

A practical suggestion for organizations dealing with big data is to invest in advanced analytics tools and interdisciplinary teams. These tools can extract meaningful insights from complex data sets, while diverse teams can interpret these insights effectively, leading to better decision-making and innovation.
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