A Modern Data Architecture with Apache Hadoop

被引：0

作者：

Singh, Tripty ^{[1
]}

Darshan, V. S. ^{[1
]}

机构：

[1] Amrita Sch Engn, Dept CSE, Bangalore, Karnataka, India

来源：

2015 INTERNATIONAL CONFERENCE ON GREEN COMPUTING AND INTERNET OF THINGS (ICGCIOT) | 2015年

关键词：

Data Architecture; Apache Hadoop; Zeta Byte; Map Reduce; Big Data;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper represents the analysis of the existing architecture framework used across domains.It also emphasizes on the modern architecture in integration with apache Hadoop. The existing data architecture is under pressure from new data and machine generated data for the upcoming years that is due to emergence of new data types there has been tremendous pressure on all the data systems within an enterprise over the years. An Exponential Growth has been estimated from 2.8 Zeta Byte of data in 2012 to grow to 40 Zeta Byte by 2020 and new data type growth is estimated to be eighty five percent with computer created information being expanded to 15 times all the more by 2020

引用

页码：574 / 579

页数：6