The 7 V’s that sum up big data are Volume, Velocity, Variety, Variability, Veracity, Visualization, and Value. Big Data has higher scalability than traditional databases, as implied by the data size, speed, accuracy, data type, significance, and accessibility. Businesses on average store large volumes of around 100 terabytes of data that must be available for conducting market research. Velocity represents the rate of accumulation of data in real-time. Variety and variability are tied to the premise of manipulating datasets with multiple meanings from diverse sources, categorized as natural language, geo-spatial, multimedia, and sensor events. Veracity suggests that big data’s quality gets degraded when the information is either incomplete or inaccurate. Visualization represents the chief part of organizing big data for easier viewing on spreadsheets and 3D models. Value gets determined by the potential applications of big data for developing new products to meet customer demands.