Trends of Big Data Analytics: Impacts and Difficulties review

Abstract

Data is anywhere, corporations, governments, data centers, business associates, and even our own. Several organizations around the world have created vast amounts of structured, unstructured, and semi-structured data in recent years, and this heterogeneous data is collectively related to big data. Business Analytics is an emerging technology of data science that seeks to use data to build business knowledge that the enterprise will gain. Businesses of all types take their analysis to the next level. That can include essential data that can help executives make successful decisions. In taking advantage of rising innovative business intelligence (BI) services, the best business is achieving these unprecedented levels. As such, recognizing the concept of Big Data, its key features, and the issues concerning the theory and functionalities is essential. The Implementing Big Data brought with it new vital difficulties that must be acknowledged before the Big Data journey begins. The biggest challenges that organizations widely face are the execution of Big Data in relation to the sensitive problems that require technologies, institutions, processes, data center, and skills challenges. The difficulties are challenging, and Big Data growth is increasing exponentially, which needs more analysis. This article analyzed the current Big Data research to achieve three goals: first, highlighting the meanings and features of Big Data and summarizing the most standard definitions in existing research; Second, recognizing the Big Data effects and advantages; Third, to identify and recognize key difficulties related to Big Data and to classify these difficulties as challenges.

.

Keyword:. Big Data, Big Data Challenges, Big Data Characteristics, Big Data Analytics, Difficulties, Big Data Success Factors