Storing and Querying of Big Data with Data Security
Smd Mujeeb, V. S. Giridhar Akula · 2015
The present day organizations are managing large amounts of data, such as the rise of social media, Internet of Things (IoT), and multimedia, has produced an overwhelming flow of data in either structured or unstructured format. Data creation is occurring at a record rate [1], referred to herein as big data, and has emerged as a widely recognized trend. Big data is eliciting attention from the academia, government, and industry. Big data are characterized by three aspects: (a) data are numerous, (b) data cannot be categorized into regular relational databases, and (c) data are generated, captured, and processed rapidly. Moreover, big data is transforming healthcare, science, engineering, finance, business, and eventually, the society. The advancements in data storage and mining technologies allow for the preservation of increasing amounts of data described by a change in the nature of data held by organizations [2]. The rate at which new data are being generated is staggering [3]. We have presented all issues related big data and cloud commuting and the proposed work specifies the network servers used to handle big data applications of meta data.