{"title":"有基于MapReduce的大数据应用的模型驱动开发经验","authors":"Asha Rajbhoj, V. Kulkarni, Nikhil Bellarykar","doi":"10.1109/APSEC.2014.23","DOIUrl":null,"url":null,"abstract":"With internet becoming increasingly pervasive, data analytics is playing increasingly critical role in the business. Data to be analyzed exists in large quantity and in multiple formats. Many technologies exist to support Big Data analytics. However, they remain somewhat of a challenge for average developer to use. It's been seen that model-driven development (MDD) approach can eliminate accidental complexity to a large extent. We discuss MDD approach for development of MapReduce based Big Data applications, its efficacy and lessons learnt.","PeriodicalId":380881,"journal":{"name":"2014 21st Asia-Pacific Software Engineering Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Early Experience with Model-Driven Development of MapReduce Based Big Data Application\",\"authors\":\"Asha Rajbhoj, V. Kulkarni, Nikhil Bellarykar\",\"doi\":\"10.1109/APSEC.2014.23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With internet becoming increasingly pervasive, data analytics is playing increasingly critical role in the business. Data to be analyzed exists in large quantity and in multiple formats. Many technologies exist to support Big Data analytics. However, they remain somewhat of a challenge for average developer to use. It's been seen that model-driven development (MDD) approach can eliminate accidental complexity to a large extent. We discuss MDD approach for development of MapReduce based Big Data applications, its efficacy and lessons learnt.\",\"PeriodicalId\":380881,\"journal\":{\"name\":\"2014 21st Asia-Pacific Software Engineering Conference\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 21st Asia-Pacific Software Engineering Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSEC.2014.23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 21st Asia-Pacific Software Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSEC.2014.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Early Experience with Model-Driven Development of MapReduce Based Big Data Application
With internet becoming increasingly pervasive, data analytics is playing increasingly critical role in the business. Data to be analyzed exists in large quantity and in multiple formats. Many technologies exist to support Big Data analytics. However, they remain somewhat of a challenge for average developer to use. It's been seen that model-driven development (MDD) approach can eliminate accidental complexity to a large extent. We discuss MDD approach for development of MapReduce based Big Data applications, its efficacy and lessons learnt.