出版社：International Association for Computer Information Systems
摘要：Today Big Data draws a lot of attention in the IT world. The rapid rise of the Internet and the digital economy has fuelled an exponential growth in demand for data storage and analytics, and IT department are facing tremendous challenge in protecting and analyzing these increased volumes of information. The reason organizations are collecting and storing more data than ever before is because their business depends on it. The type of information being created is no more traditional database - driven data refe rred to as structured data rather it is data that include documents, images, audio, video, and social media contents known as unstructured data or Big Data. Big Data Analytics is a way of extracting value from these huge volumes of information, and it driv es new market opportunities and maximizes customer retention. This paper primarily focuses on discussing the various technologies that work together as a Big Data Analytics system that can help predict future volumes, gain insights, take proactive actions, and give way to better strategic decision - making. Further this paper analyzes the adoption, usage and impact of big data analytics to the business value of an enterprise to improve its competitive advantage using a set of data algorithms for large data se ts such as Hadoop and MapReduce
