EMERGING TRENDS AND TECHNOLOGIES IN BIG DATA ANALYTICS:A COMPRENSIVE REVIEW

Computer Engineering

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 referred 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 drives new market opportunities and maximizes customer retention. After reviewing the methodology of research used in creating the review the investigation of big data will begin by attempting to craft a satisfying definition of the term. Many of the relevant technologies and techniques used in big data analytics will be covered briefly and the benefits of big data analytics across various sectors will be explored. The review will also present several of the challenges and barriers faced by purveyors of big data analytic tools and attempt to determine if the results of the analytics offset the costs of overcoming these challenges sufficiently to make them a wise investment.

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