• Manoj Aradhya H P
• Dr. K N Shreenath

Analysis of Big data guides to achieve competent data. Big Data technology is adopted by many organizations as data is huge and rapid. The world data is growing enormously, new technological path has to find out to make cardinal decisions by processing data. Complexities are more since the volume, velocity and veracity of data keeps on increasing. In order to achieve big data processing various technology like Apache Hadoop, Hive, Pig, Apache spark etc. is used. In this paper we showcase nature of the two prominent big data frameworks by their processing time. One is the Hadoop which is used to run MapReduce jobs traditionally with parallel data processing methods and another one is Spark, designed to overcome the drawbacks of MapReduce and to increase the speed of the Hadoop.

Bigdata, Processing, MapReduce, RDD

"Comparative study on the processing of Big Data using Apache Hadoop and Apache spark", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.263-268, April-2019, Available :http://www.jetir.org/papers/JETIR1904I46.pdf

"Comparative study on the processing of Big Data using Apache Hadoop and Apache spark", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp263-268, April-2019, Available at : http://www.jetir.org/papers/JETIR1904I46.pdf