ABSTRACT
The extensive development in information technology and the Internet of Things services has led to a steady increase in the volume of data produced worldwide in 2019 to reach 41 zettabytes. The field of Big Data is of great interest to researchers in academic research and business communities. Therefore, there is a significant need to collect, store, and analyze these data efficiently and accurately to get the highest possible information. The rapid increase in using Big Data created many challenges that need appropriate and quick solutions. This chapter discusses the modern data mining tools for analyzing and filtering the Big Data and their suitable applications. It also presents the latest techniques and software used in the processing and predicting the Big Data, and critically reviews the similarities and differences of each method.
