PROJECT TITLE :

Domain and Challenges of Big Data and Archaeological Photogrammetry with Blockchain

ABSTRACT:

There has been a massive increase in the amount of confusing information produced as a result of the enormous growth in the volume of data that is transferred across the web links today. Extremely large datasets, including those from universities, organizations' frameworks, institution gas, the petroleum sector, photogrammetry, Healthcare, and archaeology, that contain so much information that it becomes complex and has more varied structure. The most significant obstacle is figuring out how to manage such a large volume of data, which is also a problem in archaeological photogrammetry and is referred to as "Big Data." Despite this, large amounts of data have to be transmitted over the internet in a safe and secure manner. Because regular, conventional methods cannot be used to control it because they are unable to handle it, there is a need for more up-to-date tools that have been developed. The characteristics of big data are frequently broken down into V's categories, starting with the three V's of volume, velocity, and variety. In the course of time and through the use of research, the initial three V's have been expanded to a total of 56 V's as of right now. There are three newfound by the author that imply it multiplied close to twenty times and are included in this list. In order to answer the old, current, and restored essential inquiry, "how many V's aspects (characteristics) in big data with archaeological photogrammetry and blockchain," the researchers had to dive deep into many different research projects and search for all of these characteristics there. Detecting and building comparisons helped them answer the question. This article presents a comprehensive overview of all secured big data Vs (characteristics), as well as their strengths and limitations in relation to archaeological photogrammetry and blockchain technology.