Optimizing hadoop to scale to big systems and big-data
Optimizing hadoop to scale to big systems and big-data
批准号:
485325-2015
负责人:
Shriraman, Arrvindh
金额:
$5.77万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2016
资助国家:
加拿大
项目状态:
已结题
起止时间:
2016-01-01 至 2017-12-31
中文摘要
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英文摘要
The overall `big-data' market is expected to be worth more than \$100 billion and growing roughly twice as fast as the software business as a whole [Deloitte]. The emergence of "big data", such as social media, has played critical roles in business analytics. As an IDC report indicates data analysis will play a key role in managing traffic in canadian cities (e.g., Toronto) and healthcare. Such big data is often stored in the new generation of NoSQL databases, and processed by massively parallel MapReduce/Hadoop based infrastructure. The industry
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项目类别:Discovery Grants Program - Individual
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Optimizing hadoop to scale to big systems and big-data
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批准号:485325-2015
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项目类别:Collaborative Research and Development Grants
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资助金额:$5.77万
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依托单位:
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.99万
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依托单位:
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批准号:402849-2011
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.4万
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财政年份:2011
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负责人:Shriraman, Arrvindh
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依托单位:
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