ABSTRACT
This chapter aims to present interpretations on the drawbacks of traditional methods for processing big data, the characteristics and challenges of big data, the properties of big data analytics, and the tools and technologies for processing big data. It focuses on the transition from relational database to big data and the difference between relational data and big data. The chapter elaborates on the evolution of big data, the basic principles and properties of big data, and the generalized framework for big data systems. The term big data emerged to describe complex unstructured data generated from click streams, transaction histories, sensors, and personal digital assistant. The purpose of this layer is to increase the computation speed so that arbitrary data in real time is computed by arbitrary functions. Audio analytics refers to the extraction of valuable and meaningful information from audio data. Video analytics refers to extracting valuable data by tracking and analyzing the video streams.
