How many old and new Big Data Vs Characteristics, processing technology, and Applications (BD1)

ABSTRACT With enormous growth of data volume that is transported across the internet links today, there has been a huge amount of complex data generated. Very large sets of data including universities companies system, Healthcare, institution gas & petroleum sector, that have so big and so complex data with more varied structure. The big challenge is how to operate this notable volume of data, which referred to as Big Data. Although big data has to be securely flying and delivered through the internet, it cannot be manipulated with conventional methods that fail to handle it, so there is a need for newer developed tools to handle it. The big data have frequently broken down into Vs characteristics starting from three Vs: volume, velocity and variety. The starting three Vs have been extended during time through researches to reach fifty six Vs till now Among them are two newly discovered by the author that means it multiplied near twenty times. We had to dive to search for all of these characteristics in many researches to detect and build comparisons to answer the old, modern and renewed vital question, “how many Vs dimensions (characteristics) in big data”. This paper presents the precise clarification of all big data Vs (characteristics) and what are its strengths or weaknesses and why. Also we conducted several in-depth studies, some comparisons and measurements to cover the widest range areas of big data application activities. We also don't miss through this paper institutes absolute description of big data management cycle (BDMC) and Big Data processing Technology (BDPT) through four order steps that introduce conceptual View of Big Data. KEYWORDS: BIG DATA, HEALTHCARE, VARIED STRUCTURE, TRADITIONAL METHODS, BIG DATA PROCESSING TECHNOLOGY