Abstract
Conference Title: 2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT) Conference Start Date: 2016, April 29 Conference End Date: 2016, April 29 Conference Location: Farmingdale, NY, USA Text data is defined as sequences of characters that may become big data that has no specific format and only can be processed using the original Hadoop. Amazon Web Services AWS provides virtual Cloud Computing services such as storing data using S3 service and processing big data using EMR service. Amazon Elastic MapReduce EMR uses the original Hadoop as a processing environment to its Cloud Computing services. Also, H2Hadoop is a developed version of Hadoop that provides big data processing service that uses the metadata of related jobs to improve Hadoop performance. In this paper, we process a find sequence job in text data using Amazon EMR and H2Hadoop, and we came up with a comparison between them that shows H2Hadoop performance is more efficient than Amazon EMR in some cases under different considerations.