Big Data: Processing and Dimensions

This lecture covers the generation, storage, and processing of Big Data, exploring its historical background, production methods, and dimensions such as volume, velocity, variety, and veracity. It also delves into the challenges of structured vs. unstructured data, the anatomy of social media posts, and issues related to data analytics and heterogeneity. Additionally, it discusses the concepts of elasticity in cloud computing, data center economies of scale, and cloud security and privacy concerns.