Analytics over Big Data: Exploring the Convergence of Data Warehousing, OLAP and Data-Intensive Cloud Infrastructures

被引：45
|
作者：
Cuzzocrea, Alfredo [1 ]
机构：
[1] ICAR CNR, I-87036 Arcavacata Di Rende, Italy
来源：
2013 IEEE 37TH ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC) | 2013年
关键词：
Big Data; Data Warehousing and OLAP over Big Data; Data-Intensive Cloud Infrastructures; MAPREDUCE;
D O I：
10.1109/COMPSAC.2013.152
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper explores the convergence of Data Warehousing, OLAP and data-intensive Cloud Infrastructures in the context of so-called analytics over Big Data. The paper briefly reviews some state-of-the-art proposals, highlights open research issues and, finally, it draws possible research directions in this scientific field.
引用
收藏
页码：481 / 483
页数：3
相关论文
共 50 条
  • [1] REMS.PA: A Complex Framework for Supporting OLAP-based Big Data Analytics over Data-intensive Business Processes
    Cuzzocrea, Alfredo
    Cavalieri, Salvatore
    Tomarchio, Orazio
    Di Modica, Giuseppe
    Cantone, Concetta
    Di Bilio, Angela
    [J]. PROCEEDINGS OF THE 21ST INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS (ICEIS), VOL 1, 2019, : 223 - 230
  • [2] A Two-Level Architecture for Data Warehousing and OLAP Over Big Data
    Dhaouadi, Asma
    Gammoudi, Mohamed Mohsen
    Hammoudi, Slimane
    [J]. VISION 2025: EDUCATION EXCELLENCE AND MANAGEMENT OF INNOVATIONS THROUGH SUSTAINABLE ECONOMIC COMPETITIVE ADVANTAGE, 2019, : 7182 - 7194
  • [3] Advances in data warehousing and OLAP in the big Data Era
    Bellatreche, Ladjel
    Cuzzocrea, Alfredo
    Song, Il-Yeol
    [J]. INFORMATION SYSTEMS, 2015, 53 : 39 - 40
  • [4] Special issue on DOLAP 2015: Evolving data warehousing and OLAP cubes to big data analytics
    Ordonez, Carlos
    Garcia-Alvarado, Carlos
    Song, Il-Yeol
    [J]. INFORMATION SYSTEMS, 2017, 68 : 1 - 2
  • [5] Data-Intensive Task Scheduling for Heterogeneous Big Data Analytics in IoT System
    Li, Xin
    Wang, Liangyuan
    Abawajy, Jemal H.
    Qin, Xiaolin
    Pau, Giovanni
    You, Ilsun
    [J]. ENERGIES, 2020, 13 (17)
  • [6] BigSift: Automated Debugging of Big Data Analytics in Data-Intensive Scalable Computing
    Gulzar, Muhammad Ali
    Wang, Siman
    Kim, Miryung
    [J]. ESEC/FSE'18: PROCEEDINGS OF THE 2018 26TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING, 2018, : 863 - 866
  • [7] Scalable Data-Intensive Analytics
    Hsu, Meichun
    Chen, Qiming
    [J]. BUSINESS INTELLIGENCE FOR THE REAL-TIME ENTERPRISE, 2009, 27 : 97 - +
  • [8] Data Warehousing and OLAP
    Davis, KC
    Song, IY
    [J]. JOURNAL OF DATABASE MANAGEMENT, 2006, 17 (02) : I - III
  • [9] A Review of Big Data Analytics over Cloud
    Dasoriya, Rayan
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-ASIA (ICCE-ASIA), 2017, : 1 - 6
  • [10] Analysis of Big Data for Data-Intensive Applications
    Dave, Meenu
    Gianey, Hemant Kumar
    [J]. 2016 INTERNATIONAL CONFERENCE ON RECENT ADVANCES AND INNOVATIONS IN ENGINEERING (ICRAIE), 2016,
12345