Big Data as a Driving Tool of Digital Transformation

Abstract

As a result of this research, it was discovered how Big Data is characterized by the five Vs: Velocity, Volume, Variety, Veracity, and Value; and how Hadoop and other tools, in conjunction with distributed computing capacity, are utilized to meet the needs of Big Data. The research defines the abilities necessary to analyze Big Data, as well as the method of Data Mining and how it generates results, and it also includes recommendations. Physicians may use data science to give the best care possible for their patients, and meteorologists can use it to anticipate the scope of local meteorological occurrences. Data science can even be used to predict natural disasters such as earthquakes and tornadoes. Capturing data is an excellent way for businesses to begin their data science journeys. They can begin evaluating the data as soon as they obtain it. Here are some examples of how people produce data and how corporations such as Netflix, Amazon, United Parcel Service (UPS), Google, and Apple exploit the data generated by their customers and workers. When a Data Science project is completed, the final output should be used to communicate new information and insights gained from the data analysis to important decision-makers.

The Application of Machine Learning Techniques in Software Project Management- An Examination

“…Several other categorization experiments were been out using Regression as well. The methodologies and predictors of volatility forecasting, as well as the classification criteria, were identified in the work (Adusumalli, 2016b). Characteristics that were employed as indicators of literary volatility parameters and forecasting methodologies that were used to improve the precision of literature volatility parameters and prevision needs have been identified.…”

Advanced Metering Infrastructure Data: Overviews for the Big Data Framework

“…To be more specific, the imminent arrival of massive amounts of information necessitates the development of tools in the fields of Big Data and Data Analytics in order to explore and evaluate this information (Adusumalli, 2016b). In this context, a number of writers have worked on a variety of applications that attempt to extract value from the raw data collected by smart meters or AMI assets.…”

Cloud of Things and Interworking IoT Platform: Strategy and Execution Overviews

“…The internet of things can meet these needs (CoT). CoT provides the platform for IoT device integration (Adusumalli, 2016b). Volume 7, No 1/2018 | AJASE This is achieved by locating and constructing the most appropriate virtual objects (Dehury and Sahoo, 2016).…”