{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T02:54:20Z","timestamp":1763348060196,"version":"3.37.3"},"reference-count":15,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2016,10,18]],"date-time":"2016-10-18T00:00:00Z","timestamp":1476748800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Big Data"],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1186\/s40537-016-0051-6","type":"journal-article","created":{"date-parts":[[2016,10,18]],"date-time":"2016-10-18T07:06:57Z","timestamp":1476774417000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Analyzing performance of Apache Tez and MapReduce with hadoop multinode cluster on Amazon cloud"],"prefix":"10.1186","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0307-3785","authenticated-orcid":false,"given":"Rupinder","family":"Singh","sequence":"first","affiliation":[]},{"given":"Puneet Jai","family":"Kaur","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,10,18]]},"reference":[{"key":"51_CR1","unstructured":"Big Data, http:\/\/www.sen.wikipedia.org\/wiki\/Big_data ."},{"key":"51_CR2","unstructured":"Hadoop, http:\/\/www.apache.org ."},{"key":"51_CR3","unstructured":"Hadoop, http:\/\/www.hortonworks.com ."},{"key":"51_CR4","doi-asserted-by":"crossref","unstructured":"Ouaknine K, Carey M, Kirkpatrick S. The Pig mix benchmark on Pig, MapReduce, and HPCC systems. In: 2015 IEEE international congress on Big Data (BigData Congress); 2015. p. 643\u20138.","DOI":"10.1109\/BigDataCongress.2015.99"},{"key":"51_CR5","doi-asserted-by":"crossref","unstructured":"Bansal SK. Towards a semantic extract-transform-load (ETL) framework for Big Data integration. In: 2014 IEEE international congress on Big Data (BigData Congress); 2014. p. 522\u20139.","DOI":"10.1109\/BigData.Congress.2014.82"},{"key":"51_CR6","doi-asserted-by":"crossref","unstructured":"Maitrey S, Jha CK. Handling Big Data efficiently by using MapReduce technique. In: IEEE international conference on computational intelligence & communication technology (CICT); 2015. p. 703\u20138.","DOI":"10.1109\/CICT.2015.140"},{"key":"51_CR7","doi-asserted-by":"publisher","unstructured":"Singh R, Kaur PJ. Theoretical and empirical analysis of usage of MapReduce and Apache Tez in Big Data. In: Proceedings of first international conference on information and communication technology for intelligent systems: volume 2, smart innovation, systems and technologies 51, doi: 10.1007\/978-3-319-30927-9_52 .","DOI":"10.1007\/978-3-319-30927-9_52"},{"key":"51_CR8","doi-asserted-by":"crossref","unstructured":"Ravindra P. Towards optimization of RDF analytical queries on MapReduce. In: IEEE 30th international conference on data engineering workshops (ICDEW); 2014. p. 335\u20139.","DOI":"10.1109\/ICDEW.2014.6818351"},{"key":"51_CR9","doi-asserted-by":"crossref","unstructured":"Fuad A, Erwin A, Ipung HP. Processing performance on Apache Pig, Apache Hive and MySQL cluster. In: 2014 international conference on information, communication technology and system (ICTS); 2014. p. 297\u2013302.","DOI":"10.1109\/ICTS.2014.7010600"},{"key":"51_CR10","doi-asserted-by":"crossref","unstructured":"Azzedin F. Towards a scalable HDFS architecture. In: 2013 international conference on collaboration technologies and systems (CTS); 2013. p. 155\u201361.","DOI":"10.1109\/CTS.2013.6567222"},{"issue":"1","key":"51_CR11","first-page":"34","volume":"36","author":"AF Gates","year":"2013","unstructured":"Gates AF, Dai J, Nair T. Apache Pig\u2019s optimizer. IEEE Data Eng Bull. 2013;36(1):34.","journal-title":"IEEE Data Eng Bull"},{"issue":"2","key":"51_CR12","doi-asserted-by":"crossref","first-page":"1414","DOI":"10.14778\/1687553.1687568","volume":"2","author":"AF Gates","year":"2009","unstructured":"Gates AF, Natkovich O, Chopra S, Kamath P, Narayanamurthy SM, Olston C, Reed B, Srinivasan S, Srivastava U. Building a high-level dataflow system on top of Map-Reduce: the Pig experience. Proc VLDB Endow. 2009;2(2):1414\u201325.","journal-title":"Proc VLDB Endow"},{"key":"51_CR13","unstructured":"Cluster, http:\/\/www.amazon.com ."},{"key":"51_CR14","doi-asserted-by":"crossref","unstructured":"Thusoo A, Sarma JS, Jain N, Shao Z, Chakka P, Zhang N, Antony S, Liu H, Murthy R. Hive-a petabyte scale data warehouse using hadoop. In: 2010 IEEE 26th international conference on data engineering (ICDE). New York: IEEE; 2010. p. 996\u20131005.","DOI":"10.1109\/ICDE.2010.5447738"},{"issue":"2","key":"51_CR15","doi-asserted-by":"crossref","first-page":"1626","DOI":"10.14778\/1687553.1687609","volume":"2","author":"A Thusoo","year":"2009","unstructured":"Thusoo A, Sarma JS, Jain N, Shao Z, Chakka P, Anthony S, Liu H, Wyckoff P, Murthy R. Hive: a warehousing solution over a map-reduce framework. Proc VLDB Endow. 2009;2(2):1626\u20139.","journal-title":"Proc VLDB Endow"}],"container-title":["Journal of Big Data"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s40537-016-0051-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s40537-016-0051-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s40537-016-0051-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,14]],"date-time":"2019-09-14T14:40:44Z","timestamp":1568472044000},"score":1,"resource":{"primary":{"URL":"http:\/\/journalofbigdata.springeropen.com\/articles\/10.1186\/s40537-016-0051-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,18]]},"references-count":15,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,12]]}},"alternative-id":["51"],"URL":"https:\/\/doi.org\/10.1186\/s40537-016-0051-6","relation":{},"ISSN":["2196-1115"],"issn-type":[{"type":"electronic","value":"2196-1115"}],"subject":[],"published":{"date-parts":[[2016,10,18]]},"article-number":"19"}}