Abstract: A tremendous amount of data is generated with the increasing use of the internet, as a result, new fields like big data handling, IOT, Machine learning have evolved all of them aiming to improve the standard of human living. This data is apprehended and have become certainly manageable for first hand properties of data driver analysis which can be recycled for an improvement of folks living in urban zones and even maximize the business profits. One such area is CAB or Taxi mode of transportation .large amount of data is generated by cab companies, earlier data generated by taxi commission was physically analyzed by a various analyst to find superlative practices but with the exponential increase ranging to almost in GBs, to perform analysis manually was next to impossible. Hence came the tools like big data to our aid. Big data can effortlessly help us to analyze thousands of Gbs in a fraction of seconds. This data can be analyzed to for purposes like to avoid traffics, judge the peak hours, help frequent customers with beneficial offers etc. This analysis can also be used by Indian government authorities to aid public transportation. In this paper detailed analyze of Hadoop map reduce and spark is made using a different parameter.

Keywords: Big Data, Hadoop , Map Reduce, Spark.