Elaborative Survey on Storage Technologies for XML Big Data: A Real-time Approach

被引:0
|
作者
Sankari, S. [1 ]
Bose, S. [1 ]
机构
[1] Anna Univ, Coll Engn Guindy CEG, Dept Comp Sci & Engn, Madras 600025, Tamil Nadu, India
关键词
Big data; Data Store; NoSQL; Storage Technologies; XML; ANALYTICS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recent tremendous increase in the use of huge amount of XML data over the web leads to the development of new technologies. The special characteristic of XML is its flexible structure that makes XML as the widely used data format. Big data generally refers large amount of data of any type. As the size of the XML data is increased, XML big data takes the advantage of considering both XML and big data. Hence, innovative technologies are essential to handle XML big data. Therefore, it is necessary for the technologies to emphasize more on storage and management of XML big data. We elucidate the fundamental features of XML and big data. An important aspect of this survey is about the considerations of storage technologies for XML big data in real-time applications. This paper provides a review on latest technologies that can store, process and manage XML big data efficiently. In particular, the paper outlines the efficient storage technologies that can be applied to support XML big data. On the whole, based on the current technologies and literature review, our paper enumerates XML big data storage technologies that are available for real-world applications.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Real-Time DDoS Attack Detection System Using Big Data Approach
    Awan, Mazhar Javed
    Farooq, Umar
    Babar, Hafiz Muhammad Aqeel
    Yasin, Awais
    Nobanee, Haitham
    Hussain, Muzammil
    Hakeem, Owais
    Zain, Azlan Mohd
    [J]. SUSTAINABILITY, 2021, 13 (19)
  • [32] Real-time fault detection approach of software under big data environment
    Jian Xianrui
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING, 2015, 124 : 1215 - 1220
  • [33] Real-time big data processing for instantaneous marketing decisions: A problematization approach
    Jabbar, Abdul
    Akhtar, Pervaiz
    Dani, Samir
    [J]. INDUSTRIAL MARKETING MANAGEMENT, 2020, 90 : 558 - 569
  • [34] REAL-TIME SUPPLY CHAIN SIMULATION: A BIG DATA-DRIVEN APPROACH
    Vieira, Antonio A. C.
    Dias, Luis M. S.
    Santos, Maribel Y.
    Pereira, Guilherme A. B.
    Oliveira, Jose A.
    [J]. 2019 WINTER SIMULATION CONFERENCE (WSC), 2019, : 548 - 559
  • [35] Real-Time Data Stream Partitioning over a Sliding Window in Real-Time Spatial Big Data
    Hamdi, Sana
    Bouazizi, Emna
    Faiz, Sami
    [J]. ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2018, PT I, 2018, 11334 : 75 - 88
  • [36] Big Data technologies: A survey
    Oussous, Ahmed
    Benjelloun, Fatima-Zahra
    Ait Lahcen, Ayoub
    Belfkih, Samir
    [J]. JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2018, 30 (04) : 431 - 448
  • [37] Clustering-based real-time anomaly detection-A breakthrough in big data technologies
    Habeeb, Riyaz Ahamed Ariyaluran
    Nasaruddin, Fariza
    Gani, Abdullah
    Amanullah, Mohamed Ahzam
    Hashem, Ibrahim Abaker Targio
    Ahmed, Ejaz
    Imran, Muhammad
    [J]. TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2022, 33 (08):
  • [38] Real Time Processing Technologies in Big Data: Comparative Study
    Kandrouch, Ibtissame
    Redouani, Yassine
    Chaoui, Habiba
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON POWER, CONTROL, SIGNALS AND INSTRUMENTATION ENGINEERING (ICPCSI), 2017, : 256 - 262
  • [39] Real Time Financial Analysis Using Big Data Technologies
    Kanaujia, Pradeep Kumar M.
    Pandey, Manjusha
    Rautaray, Siddharth Swarup
    [J]. 2017 INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC), 2017, : 131 - 136
  • [40] Big Data/Big Compute Technologies and the Realm of Possibilities: The Emergence of Real-Time Risk Enterprises in the Capital Markets Industry
    Habbal, Mayiz
    [J]. JOURNAL OF TRADING, 2014, 9 (01): : 67 - 70