Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Statistical Data Management

  • Amarnath GuptaEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_1290


Statistical database


A Statistical data management system is a data management system designed to explicitly handle so called “macro data,” i.e., data computed by different forms of summarization, including grouping and classification, as first class objects. In a statistical data management system, there are data manipulation operators that “slice and dice” the macro data. In many statistical databases, one of the goals is to hide the micro data (i.e., the raw data records from which the macro data are computed) from user queries.


A classical example of a statistical database is a database created for social or economic surveys. STORM [4] is a classical statistical data management system.

Key Points

Research on statistical databases started in the 1970s and flourished in the 1980s, predating OLAP. A number of systems developed based on both relational and object-oriented data models. Many of these systems developed a graph-based representation of...

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Recommended Reading

  1. 1.
    Denning DE, Schlörer J. A fast procedure for finding a tracker in a statistical database. ACM Trans Database Syst. 1980;5(1):88–102.CrossRefGoogle Scholar
  2. 2.
    Ghosh SP. Statistical relational tables for statistical database management. IEEE Trans Softwore Eng. 1986;12(12):1106–16.CrossRefGoogle Scholar
  3. 3.
    Rafanelli M, Ricci FL. Mefisto: a functional model for statistical entities. IEEE Trans Knowl Data Eng. 1993;5(4):670–81.CrossRefGoogle Scholar
  4. 4.
    Rafanelli M, Shoshani A. STORM: a statistical object representation model. In: Proceedings of the 2nd International Conference on Scientific and Statistical Database Management; 1990. p. 14–29.Google Scholar
  5. 5.
    Shoshani A. OLAP and statistical databases: similarities and differences. In: Proceedings of the 16th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems; 1997. p. 185–96.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.San Diego Supercomputer CenterUniversity of California San DiegoLa JollaUSA

Section editors and affiliations

  • Amarnath Gupta
    • 1
  1. 1.San Diego Supercomputer CenterUniv. of California San DiegoLa JollaUSA