• Syed Rashid Anwar

As the demand to analyze trends in large datasets increases, researchers and companies alike are becoming more interested in big data analytics. The quantity of data gathered (in health care, social media, smart cities, agriculture, finance, and education) has soared as sensor networks and cyber-physical systems continue to grow. Due to noise, incompleteness, and inconsistency, data from sensors, social media, and financial records are inherently untrustworthy. This article serves two purposes. Various big data tools are also addressed in the article, along with their distinguishing features. These areas have many research paths, but the purpose of this article is to allow exploration of these topics as well as the development and execution of optimal Big Data methods. Researchers interested in studying and participating in this rapidly expanding field will be able to learn about present trends as well as potential future directions. This article looks at big data, its challenges, and where it is headed in the future, as well as the Big Data Analytics methods used by various companies to help them make good investment decisions. This research, on the other hand, is limited to big data concepts and the issues they can solve. The goal of this paper is to look at the problems and roadblocks that are becoming more prevalent in this new industry

Analytics, Big Data, Data Analytics, Machine Learning, Natural Language Processing

"Review Paper on Big Data and Its Significance ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.587-591, April-2019, Available :http://www.jetir.org/papers/JETIRFT06112.pdf

"Review Paper on Big Data and Its Significance ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp587-591, April-2019, Available at : http://www.jetir.org/papers/JETIRFT06112.pdf