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Apache Hadoop: Resourceful Big Data Management

Mr.NileshVishwasrao Patil, Mr.Tanvir Patel

Now days the growth of increasing data in one year is around double to existing data available up to previous year. Today’s world is modern computer world, every public and private sector moving towards modern electronic world, also small data is moving towards big data. Hence there is need to distribute big data efficiently in distributed framework with replication for its importance. Big data is available in structured, unstructured and semi-structured data format. Relational database has fails to store this multi-structured data. Apache Hadoop is efficient, robust, reliable and scalable framework to store, process, transform and extract big data.Hadoop framework is open source and fee software which is available at ApacheSoftware Foundation. In this paper we will present Hadoop, HDFS, MapReduce and application projects to minimize efforts of developer to write MapReduce code.

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学术钥匙
研究圣经
引用因子
宇宙IF
参考搜索
哈姆达大学
世界科学期刊目录
学者指导
国际创新期刊影响因子(IIJIF)
国际组织研究所 (I2OR)
宇宙

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