Taming the Big Data Monster: Managing Petabytes of Data with Multi-Model Databases-Reference-Cited by-同舟云学术

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Taming the Big Data Monster: Managing Petabytes of Data with Multi-Model Databases

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
language:
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Author:

Chen Yang¹,Zhang Feng¹,Hong Yinhao¹,Chai Yunpeng¹,Lu Wei¹,Chen Hong¹,Du Xiaoyong¹,Wang Peipei¹,Mi Le¹,Li Jintao¹,Tang Xilin¹,Zhou Yanliang¹,Zhou Wei²,Zhang Peng³,Chen Fengyi³,Li Pengfei³,Li Yu³

Affiliation:

1. Key Laboratory of Data Engineering and Knowledge Engineering (MOE), and School of Information Renmin University of China

2. CICC Alpha (Beijing) Private Equity

3. Alibaba Computing Ltd.,Alibaba Group

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9980889/9980894/09980983.pdf?arnumber=9980983

Reference55 articles.

1. Hdfs architecture guide;borthakur;Apache Hadoop Project,2008

2. Apache hadoop;Apache Software Foundation,0

3. SDIS: A PB-level seismic data index system with ML methods

4. iProX in 2021: connecting proteomics data sharing with big data;chen;Nucleic Acids Research,2021

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