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Social-data storage-systems

Published: 12 June 2011 Publication History

Abstract

The amount of social data produced by a wide variety of social platforms grows every day. Storing and querying this huge amount of data in almost real time presents a challenge to storage systems in order to scale up to hundreds or thousands of nodes. Also the graph structure and the diverse and changing structure of every single node in social data has to be handled by these systems. In this paper, we describe five storage system types on the basis of eight current open source storage system solutions in order to analyze their application potential.

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  • (2022)Maximizing Bigdata Retrieval: Block as a Value for NoSQL over SQLProceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.1109/ASONAM55673.2022.10068692(556-563)Online publication date: 10-Nov-2022
  • (2021)Semantic-based Big Data integration framework using scalable distributed ontology matching strategyDistributed and Parallel Databases10.1007/s10619-021-07321-6Online publication date: 29-Jan-2021
  • (2019)Designing Graph Databases With GRAPHEDJournal of Database Management10.4018/JDM.201901010330:1(41-60)Online publication date: Jan-2019
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Published In

cover image ACM Conferences
DBSocial '11: Databases and Social Networks
June 2011
41 pages
ISBN:9781450306508
DOI:10.1145/1996413
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 12 June 2011

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Author Tags

  1. NoSQL
  2. column store
  3. document store
  4. graph db
  5. key-value store
  6. rdbms
  7. social data
  8. storage system

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SIGMOD/PODS '11
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Overall Acceptance Rate 9 of 19 submissions, 47%

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Cited By

View all
  • (2022)Maximizing Bigdata Retrieval: Block as a Value for NoSQL over SQLProceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.1109/ASONAM55673.2022.10068692(556-563)Online publication date: 10-Nov-2022
  • (2021)Semantic-based Big Data integration framework using scalable distributed ontology matching strategyDistributed and Parallel Databases10.1007/s10619-021-07321-6Online publication date: 29-Jan-2021
  • (2019)Designing Graph Databases With GRAPHEDJournal of Database Management10.4018/JDM.201901010330:1(41-60)Online publication date: Jan-2019
  • (2018)Comparative Analysis of Relational and Graph Databases for Social Networks2018 1st International Conference on Computer Applications & Information Security (ICCAIS)10.1109/CAIS.2018.8441982(1-4)Online publication date: Apr-2018
  • (2018)GRAPHED: A Graph Description Diagram for Graph DatabasesTrends and Advances in Information Systems and Technologies10.1007/978-3-319-77703-0_111(1141-1151)Online publication date: 2018
  • (2015)Using MongoDB for social networking website deciphering the pros and cons2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)10.1109/ICIIECS.2015.7192924(1-3)Online publication date: Mar-2015
  • (2014)Big Data solutions on a small scale: Evaluating accessible high-performance computing for social researchBig Data & Society10.1177/20539517145591051:2Online publication date: 25-Nov-2014
  • (2014)Speaking in tonguesProceedings of the 29th Annual ACM Symposium on Applied Computing10.1145/2554850.2555099(855-857)Online publication date: 24-Mar-2014
  • (2013)Document-Based Databases for Medical Information Systems and Crisis ManagementInternational Journal of Information Systems for Crisis Response and Management10.4018/ijiscram.20130701045:3(63-80)Online publication date: 1-Jul-2013
  • (2013)Implementing link-prediction for social networks in a database systemProceedings of the ACM SIGMOD Workshop on Databases and Social Networks10.1145/2484702.2484710(37-42)Online publication date: 22-Jun-2013
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