有基于MapReduce的大数据应用的模型驱动开发经验

Asha Rajbhoj, V. Kulkarni, Nikhil Bellarykar
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引用次数: 11

摘要

随着互联网的日益普及,数据分析在商业中扮演着越来越重要的角色。待分析数据量大,格式多样。支持大数据分析的技术有很多。然而,对于普通开发人员来说,使用它们仍然是一个挑战。模型驱动开发(MDD)方法可以在很大程度上消除偶然的复杂性。我们讨论了基于MapReduce的大数据应用开发的MDD方法,它的有效性和经验教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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