Which best describes big data?

Big data is characterized by its volume, velocity, variety, and complexity, making it difficult to manage and process using traditional data processing applications. It encompasses vast amounts of data from various sources that can include structured, semi-structured, and unstructured data. The nature of big data often requires advanced technologies and techniques, such as distributed computing, to analyze and derive insights from it effectively.

The other options define different aspects or types of data. For instance, traditional applications are designed to handle smaller, well-defined datasets, which do not represent the challenges that big data presents. Small structured datasets are manageable and can easily fit into standard database systems, which is the opposite of what characterizes big data. Additionally, big data is not limited to data collected from sensors; it includes diverse data types and sources beyond just sensor-generated information, such as social media, logs, and enterprise data. Thus, the correct definition of big data is indeed the datasets that are too large or complex for traditional data processing applications.