An Analysis upon Various Modeling and Evolutionary Optimization of Big Data Analytics | Original Article
Recent advances in technology and the web, as well as and the decreasing cost of data storage, have motivated all kinds of organizations to capture, store and analyze vast amounts of data. The term “Big Data” is often used to describe this phenomenon, meaning information that cannot be processed or analyzed using traditional processes or tools, such as relational databases and data warehouses. We are living in the era of Big Data. Today a vast amount of data is generating everywhere due to advances in the Internet and communication technologies and the interests of people using smartphones, social media, Internet of Things, sensor devices, online services and many more. Similarly, in improvements in data applications and wide distribution of software, several government and commercial organizations such as financial institutions, healthcare organization, education and research department, energy sectors, retail sectors, life sciences and environmental departments are all producing a large amount of data every day.