Efficient Approach to Store Big Proteomic Data Based on NoSQL Database

被引：0
|
作者：
Zhang, Lin [1 ]
Sang, Zhe [2 ]
Ye, Xue-Ying [2 ]
Shen, Yuan-Hai [2 ]
Tan, Jun [2 ]
Bai, Ming-Ze [2 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Coll Comp Sci & Technol, Chongqing 400065, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Coll Bioinformat, Chongqing 400065, Peoples R China
来源：
COMPUTER SCIENCE AND TECHNOLOGY (CST2016) | 2017年
关键词：
Big data; Proteomics; Non-relational database; MongoDB database;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
To solve the inefficient bottleneck problems of the traditional relational databases in big data storage and access, this paper proposes an efficient approach to store big proteomic data based on NoSQL (Not only SQL) database. MongoDB, a typical software of NoSQL, is compared with MySQL in data storage and query performance. The experiment results demonstrate that the query and read speed of NoSQL database has been improved significantly as compared to the traditional relational database, especially for mass unstructured and semi-structured data.
引用
收藏
页码：641 / 649
页数：9
相关论文
共 50 条
  • [1] An Implementation Approach to Store GIS Spatial Data on NoSQL Database
    Zhang, Xiaomin
    Song, Wei
    Liu, Liming
    [J]. 2014 22ND INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS 2014), 2014,
  • [2] Big Data retrieval techniques based on Hash Indexing and MapReduce approach with NoSQL Database
    Gayathiri, N. R.
    Jaspher, David D.
    Natarajan, A. M.
    [J]. PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING & COMMUNICATION ENGINEERING (ICACCE-2019), 2019,
  • [3] Graph-Based Denormalization for Migrating Big Data from SQL Database to NoSQL Database
    Rathika, V
    [J]. INTELLIGENT COMMUNICATION TECHNOLOGIES AND VIRTUAL MOBILE NETWORKS, ICICV 2019, 2020, 33 : 546 - 556
  • [4] Analysis of Big Data Sized NoSQL Database with Secondary Index
    Chang, Bao Rong
    Tsai, Hsiu-Fen
    Chen, Chia-Yen
    Hsu, Hung-Ta
    [J]. INTELLIGENT SYSTEMS AND APPLICATIONS (ICS 2014), 2015, 274 : 553 - 558
  • [5] Efficient Query Analysis and Performance Evaluation of the Nosql Data Store for BigData
    Gupta, Sangeeta
    Narsimha, G.
    [J]. PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INFORMATICS, ICCII 2016, 2017, 507 : 549 - 558
  • [6] A fresh approach for hybrid SQL/NoSQL database design based on data structuredness
    Bjeladinovic, Srdja
    [J]. ENTERPRISE INFORMATION SYSTEMS, 2018, 12 (8-9) : 1202 - 1220
  • [7] NoSQL Database: A Scalable, Availability, High Performance Storage for Big Data
    Huang, Yu
    Luo, Tiejian
    [J]. PERVASIVE COMPUTING AND THE NETWORKED WORLD, 2014, 8351 : 172 - 183
  • [8] NoSQL document store translation to data vault based EDW
    Cernjeka, Katerina
    Jaksic, Danijela
    Jovanovic, Vladan
    [J]. 2018 41ST INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2018, : 1197 - 1202
  • [9] A Methodological Approach for Big Data Security: Application for NoSQL Data Stores
    Heni, Houyem
    Gargouri, Faiez
    [J]. NEURAL INFORMATION PROCESSING, ICONIP 2015, PT IV, 2015, 9492 : 685 - 692
  • [10] Holistic Disaster Recovery Approach For Big Data NoSQL Workloads
    Abadi, Aharon
    Haib, Ashraf
    Melamed, Roie
    Nassar, Alaa
    Shribman, Aidan
    Yasin, Hisham
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2016, : 2075 - 2080
12345