The term isn't entirely misleading...the volume of data involved can indeed be staggering but don't mistake it for a complete definition. Big data platforms are certainly optimized for large data sets, but I've seen many data lakes built to store big data that were smaller than conventional data warehouses in the same organization. Nevertheless, it is generally true that big data tends to be big. So, what else is involved? One key aspect is the multiplicity of data types involved. A single big data system may contain XML documents, raw log files, text files, images, video, audio and traditional structured data. This is commonly called the variety of big data, and being able to store and process some of these data types -- especially images, video and audio files, which can be very large. If you have a big data project and would like to speak to one of our team members to go through in more detail, Get in touch.