Define "big data."

The definition of "big data" centers around the concept of extremely large datasets that are analyzed for patterns and insights. Big data typically involves volumes of data that exceed the capabilities of traditional data processing software. This data can come from various sources and in various forms, including structured, semi-structured, and unstructured data. The analysis of big data allows organizations to uncover trends, make informed decisions, and drive strategic planning. It reflects the complexity and scale of data that modern technologies are capable of handling through advanced analytics, machine learning, and data visualization techniques.

In contrast, data that is easy to manage, collected manually, or simple datasets used for quick analysis do not embody the characteristics or challenges associated with big data. Those types of data tend to be smaller in volume or less complex, making them easier to work with using conventional tools and methods, and thus do not meet the specific criteria that define big data.