Graph-Based Denormalization for Migrating Big Data from SQL Database to NoSQL Database

被引：0
|
作者：
Rathika, V [1 ]
机构：
[1] Mother Teresa Womens Univ, Dept Comp Sci, Kodaikanal, Tamil Nadu, India
来源：
INTELLIGENT COMMUNICATION TECHNOLOGIES AND VIRTUAL MOBILE NETWORKS, ICICV 2019 | 2020年 / 33卷
关键词：
Big data; Data migration; Denormalization; Map Reduce; NoSQL database;
D O I：
10.1007/978-3-030-28364-3_56
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this big data era, the data storing methods are vary based upon the data type and the technologies upgradation. Due to the increase of voluminous data, the traditional Relational Database Management Systems (RDBMS) are immature to handle the unstructured data. To overcome this issue, NoSQL databases are used to store and process the unstructured data. The big data migration from SQL to NoSQL database is more complex. The SQL databases are well-normalized database. Denormalization plays a major role in retrieving the data more efficiently. This work is carried on migrating the big data from SQL to NoSQL database using the Graph-based Denormalization method. The proposed method is more efficient for big data migration and post-migration process.
引用
收藏
页码：546 / 556
页数：11
相关论文
共 50 条
  • [1] Migrating from SQL to NOSQL Database: Practices and Analysis
    Yassine, Fatima
    Awad, Mamoun Adel
    [J]. PROCEEDINGS OF THE 2018 13TH INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION TECHNOLOGY (IIT), 2018, : 58 - 62
  • [2] SQL Database with physical database tuning technique and NoSQL graph database comparisons
    Khan, Wisal
    Ahmad, Waqas
    Luo, Bin
    Ahmed, Ejaz
    [J]. PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019), 2019, : 110 - 116
  • [3] 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
  • [4] Uniform data access platform for SQL and NoSQL database systems
    Vathy-Fogarassy, Agnes
    Hugyak, Tamas
    [J]. INFORMATION SYSTEMS, 2017, 69 : 93 - 105
  • [5] Data adapter for querying and transformation between SQL and NoSQL database
    Liao, Ying-Ti
    Zhou, Jiazheng
    Lu, Chia-Hung
    Chen, Shih-Chang
    Hsu, Ching-Hsien
    Chen, Wenguang
    Jiang, Mon-Fong
    Chung, Yeh-Ching
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2016, 65 : 111 - 121
  • [6] Efficient Approach to Store Big Proteomic Data Based on NoSQL Database
    Zhang, Lin
    Sang, Zhe
    Ye, Xue-Ying
    Shen, Yuan-Hai
    Tan, Jun
    Bai, Ming-Ze
    [J]. COMPUTER SCIENCE AND TECHNOLOGY (CST2016), 2017, : 641 - 649
  • [7] Schema Conversion Model of SQL Database to NoSQL
    Zhao, Gansen
    Lin, Qiaoying
    Li, Libo
    Li, Zijing
    [J]. 2014 NINTH INTERNATIONAL CONFERENCE ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING (3PGCIC), 2014, : 355 - 362
  • [8] A Framework for Image Synchronization from Mobile NoSQL Database to Server-Side SQL Database
    Zulkafli, Abu Zarin
    Basri, Shuib
    Ahmad, Rohiza
    Imam, Abdullahi Abubakar
    [J]. SOFTWARE ENGINEERING TRENDS AND TECHNIQUES IN INTELLIGENT SYSTEMS, CSOC2017, VOL 3, 2017, 575 : 179 - 191
  • [9] 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
  • [10] MEDICAL GRAPH DATABASE ON NOSQL ENVIRONMENT
    Mocean, Loredana
    [J]. PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON INFORMATICS IN ECONOMY (IE 2017): EDUCATION, RESEARCH & BUSINESS TECHNOLOGIES, 2017, : 303 - 310
12345