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Analytics over large-scale multidimensional data: the big data revolution!

Authors:

Alfredo Cuzzocrea,

Il-Yeol Song,

Karen C. DavisAuthors Info & Claims

DOLAP '11: Proceedings of the ACM 14th international workshop on Data Warehousing and OLAP

Pages 101 - 104

https://doi.org/10.1145/2064676.2064695

Published: 28 October 2011 Publication History

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Abstract

In this paper, we provide an overview of state-of-the-art research issues and achievements in the field of analytics over big data, and we extend the discussion to analytics over big multidimensional data as well, by highlighting open problems and actual research trends. Our analytical contribution is finally completed by several novel research directions arising in this field, which plays a leading role in next-generation Data Warehousing and OLAP research.

References

[1]

Abouzeid, A., Bajda-Pawlikowski, K., Abadi, D. J., Rasin, A., and Silberschatz, A. HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads. PVLDB 2(1), 2009.

Digital Library

Google Scholar

[2]

Agrawal, D., Das, D., and El Abbadi, A. Big Data and Cloud Computing: Current State and Future Opportunities. Proc. of EDBT, 2011.

Digital Library

Google Scholar

[3]

Apache Hadoop. http://wiki.apache.org/hadoop

Google Scholar

[4]

Cattell, R. Scalable SQL and NoSQL Data Stores. SIGMOD Record 39(4), 2010.

Digital Library

Google Scholar

[5]

Chen, Q., Hsu, M., and Liu, R. Extend UDF Technology for Integrated Analytics. Proc. of DaWaK, 2009.

Digital Library

Google Scholar

[6]

Chen, Z., and Ordonez, C. Efficient OLAP with UDFs. Proc. of DOLAP, 2008.

Digital Library

Google Scholar

[7]

Cohen, J., Dolan, B., Dunlap, M., Hellerstein, J. M., and Welton, C. MAD Skills: New Analysis Practices for Big Data. PVLDB 2(2), 2009.

Digital Library

Google Scholar

[8]

Dean, J., and Ghemawat, S. MapReduce: Simplified Data Processing on Large Clusters. Communications of the ACM 51(1), 2008.

Digital Library

Google Scholar

[9]

Dittrich, J., Quiané-Ruiz, J.-A., Jindal, A., Kargin, Y., Setty, V., and Schad, J. Hadoop++: Making a Yellow Elephant Run Like a Cheetah. PVLDB 3(1), 2010.

Digital Library

Google Scholar

[10]

Hacigumus, H., Iyer, B., and Mehrotra, S. Providing Database as a Service. Proc. of ICDE, 2002.

Digital Library

Google Scholar

[11]

Herodotou, H., Lim, H., Luo, G., Borisov, N., Dong, L., Cetin, F. B., and Babu, S. Starfish: A Self-Tuning System for Big Data Analytics. Proc. of CIDIR, 2011.

Google Scholar

[12]

Jiang, D., Ooi, B. C., Shi, L., and Wu, S. The Performance of MapReduce: An In-depth Study. PVLDB 3(1), 2010.

Digital Library

Google Scholar

[13]

Thusoo, A. Sarma, J. S., Jain, N., Shao, Z., Chakka, P. Zhang, N., Antony, S., Liu, H., and Murthy, R. Hive - A Petabyte Scale Data Warehouse Using Hadoop. Proc. of ICDE, 2010.

Crossref

Google Scholar

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Cuzzocrea ACiancarini P(2024)Serendipitous, Open Big Data Management and Analytics: The SeDaSOMA FrameworkModelling10.3390/modelling50300615:3(1173-1196)Online publication date: 4-Sep-2024
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Index Terms

Analytics over large-scale multidimensional data: the big data revolution!
1. Information systems
  1. Data management systems
    1. Information integration
      1. Data warehouses
  2. Information systems applications
    1. Decision support systems
      1. Data warehouses

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Published In

DOLAP '11: Proceedings of the ACM 14th international workshop on Data Warehousing and OLAP

October 2011

112 pages

ISBN:9781450309639

DOI:10.1145/2064676

General Chair:
Il-Yeol Song
Drexel University, USA
,
Program Chairs:
Alfredo Cuzzocrea
ICAR-CNR and University of Calabria, Italy
,
Karen Davis
University of Cincinnati, USA

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 October 2011

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CIKM '11

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CIKM '11: International Conference on Information and Knowledge Management

October 28, 2011

Glasgow, Scotland, UK

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Overall Acceptance Rate 29 of 79 submissions, 37%

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Darwish D(2024)Introduction to Big Data AnalyticsBig Data Analytics Techniques for Market Intelligence10.4018/979-8-3693-0413-6.ch001(1-48)Online publication date: 4-Jan-2024
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Cuzzocrea ACiancarini P(2024)Serendipitous, Open Big Data Management and Analytics: The SeDaSOMA FrameworkModelling10.3390/modelling50300615:3(1173-1196)Online publication date: 4-Sep-2024
https://doi.org/10.3390/modelling5030061
Cheng CMesserschmidt LBravo IWaldbauer MBhavikatti RSchenk CGrujic VModel TKubinec RBarceló J(2024)A General Primer for Data HarmonizationScientific Data10.1038/s41597-024-02956-311:1Online publication date: 31-Jan-2024
https://doi.org/10.1038/s41597-024-02956-3
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Yuan JMi LWang SCheng YHou X(2023)Comparing the influence of big data resources on medical knowledge recall for staff with and without medical collaboration platformBMC Medical Education10.1186/s12909-023-04926-623:1Online publication date: 13-Dec-2023
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Data warehousing and OLAP over big data: current challenges and future research directions

Scalable graph-based OLAP analytics over process execution data

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