A systematic Review of Big data tools and application for developments

Big Data is a hot topic in various research and development fields at present, mainly due to recent developments in ICTs. A significant problem for Big Data is coping with vast quantities of complex data. Because of the widely-feared complexity of the job data typically triggered by rises in the amount of work performed at rapid rates, analytical processing needs to be complex and fast. Because of the exponential growth in tools and methodologies for processing Big Data, there is talk of advanced tools and frameworks for processing Big Data. This paper describes and evaluates the following popular Big Data processing tools: Flume, HDFS, Hive, Pig, and Spark. A comparative evaluation is presented that describe use that tools.