What does the term 'big data' refer to?

The term 'big data' refers to datasets that traditional data processing software cannot efficiently manage. This includes data that is not only large in size but also complex, diverse, and generated at high velocity. The nature of big data is such that it often includes structured, semi-structured, and unstructured data, which together create challenges for conventional data processing tools. These tools may struggle with storage, analysis, and real-time processing of big data, which is why specialized technologies and frameworks, such as Hadoop and SQL extensions like Hive, have emerged to handle such data effectively.

In contrast, datasets that can be managed with basic software do not fall under the definition of big data; they are typically smaller and more straightforward. Similarly, small datasets used for targeted marketing and data derived solely from social media platforms are not representative of the broad and varied characteristics that define big data. Big data encompasses a much larger and more diverse scope than these options suggest. The impact and insights gained from big data analytics can significantly influence decision-making processes across various sectors, illustrating its importance in today's data-driven world.