Skip to main content

Cloud Intelligence

  • Reference work entry
  • First Online:
  • 50 Accesses

Definition

Cloud Intelligence (CI) is a collection of technologies emerging from the migration of business intelligence (BI) and analytics technologies to a cloud computing environment combined with exploiting the massive range of new intelligence opportunities opened up by cloud computing and Big Data.

Key Points

Cloud Intelligence can be characterized as BI and analytics in, for, and with the cloud.

Inthe cloud refers to the fact that cloud intelligence solutions will be offered “as-a-service”, running in the cloud rather than at user sites. The cloud intelligence services should be dynamically scalable to a global level. Thus, massively parallel computing techniques such as MapReduce, and beyond are the standard underlying computing platform. Another aspect of running on a cloud platform is the fundamentally new economic model needed for cloud intelligence. In traditional BI, the (large) cost of building a BI system is initially covered by an enterprise investment which must later...

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   6,499.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Recommended Reading

  1. Abelló A, Darmont J, Etcheverry L, Golfarelli M, Mazón J-N, Naumann F, Pedersen TB, Rizzi S, Trujillo J, Vassiliadis P, Vossen G. Fusion cubes: towards self-service business intelligence. Int J Data Warehous Min. 2013;9(2):66–88.c.

    Article  Google Scholar 

  2. Cloud Intelligence Workshop series. 2013. http://eric.univ-lyon2.fr/cloud-i/. Accessed 26 Aug 2014.

  3. Pedersen TB. Research challenges for cloud intelligence: invited talk. In: Proceedings of the BEWEB 2010, Part of EDBT/ICDT Workshops Proceedings; 2010.

    Google Scholar 

  4. Pedersen TB, Pedersen D, Riis K. On-demand multidimensional data integration: toward a semantic foundation for cloud intelligence. J Supercomput. 2013;65(1):217–57.

    Article  Google Scholar 

  5. VLDB Solutions. Cloud Intelligence data warehouse platform. 2014. http://www.cloudintelligence.co.uk. Accessed 26 Aug 2014.

  6. Sonian. Sonian Cloud Intelligence. 2014. http://sonian.com/cloud-intelligence/. Accessed 26 Aug 2014.

  7. Darmont J, Pedersen TB, Middelfart M. Cloud intelligence: what is REALLY new? In: Darmont J, Pedersen TB, editors. Proceedings of the 1st International Workshop on Cloud Intelligence; 2012.

    Google Scholar 

  8. Darmont J, Pedersen TB. Cloud intelligence: challenges for research and industry. In: Darmont J, Pedersen TB, editors. Proceedings of the 2nd International Workshop on Cloud Intelligence; 2013.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Torben Bach Pedersen .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

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

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Pedersen, T.B. (2018). Cloud Intelligence. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_80626

Download citation

Publish with us

Policies and ethics