Skip to main content

Examples for New Enterprise Applications

  • Chapter
  • First Online:
A Course in In-Memory Data Management
  • 2115 Accesses

Abstract

This chapter gives an overview of exemplary enterprise applications that build on the changed foundations and database techniques described in this book. We will first describe how in-memory technology can be leveraged for the interactive analysis of point-of-sales data, followed by an example application for high performance in-memory genome analyses.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 74.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
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

Institutional subscriptions

Notes

  1. 1.

    Hosted at the Future SOC Lab at the Hasso Plattner Institute.http://www.hpi-web.de/future_soc_lab.

  2. 2.

    You can access our cloud services online at http://www.analyzegenomes.com.

References

  1. W.J. Ansorge, Next-generation DNA sequencing techniques. New Biotechnol. 25(4), 195–203 (2009)

    Article  Google Scholar 

  2. I. Bozic et al., Accumulation of driver and passenger mutations during tumor progression. Proc. Natl. Acad. Sci. USA 107(43), 18545–18550 (2010)

    Article  Google Scholar 

  3. B. Bläser, K. Fleckstein, S. Hoffmann, O. Schall, O. Rutz, SAP enterprise data warehouse for point of sales data optimized for IBM DB2 for Linux, UNIX, and Windows on IBM Power Systems. SAP SCN, DOC-14457 (2011)

    Google Scholar 

  4. A. Bog, K. Sachs, H. Plattner, Interactive Performance Monitoring of a Composite OLTP and OLAP Workload, in Proceedings of the Int’l Conf on Mgmt of Data 2012 (ACM, Scottsdale, AZ, 2012), pp. 645–648

    Google Scholar 

  5. D. Crockford, RFC4627: The application/json Media Type for JavaScript Object Notation (JSON). http://www.ietf.org/rfc/rfc4627.txt [retrieved: Sep3, 2012], July 2006

  6. T.K. Das, M.R. Mishra, A study on challenges and opportunities in master data management. Int. J. Database Mgmt Syst. 3(2), 129–139 (2011)

    Article  Google Scholar 

  7. S.A. Forbes et al., The catalogue of somatic mutations in cancer: a resource to investigate acquired mutations in human cancer. Nucl. Acids Res. 38, D652–D657 (2010)

    Article  Google Scholar 

  8. F. Färber, S.K. Cha, J. Primsch, C. Bornhövd, S. Sigg, W. Lehner, SAP HANA database: data management for modern business applications. SIGMOD Rec. 40(4), 45–51 (2012)

    Article  Google Scholar 

  9. A.T. Holdener, AJAX: The Definitive Guide, 1st edn. (O’Reilly, California, 2008)

    Google Scholar 

  10. K.K. Jain, Textbook of Pers. Medicine (Springer, New York, 2009)

    Google Scholar 

  11. A. Knopfel, B. Grone, P. Tabeling, Fundamental Modeling Concepts: Effective Communication of IT Systems (Wiley, West Sussex, 2006)

    Google Scholar 

  12. S.A. Krawetz, Bioinformatics for Systems Biology (Humana Press, New York, 2009)

    Book  Google Scholar 

  13. L.R. Meyer et al., The UCSC genome browser database: extensions and updates 2013. Nucl. Acids Res., D64–D69 (2012)

    Google Scholar 

  14. J.C. McCallum, Memory Prices (1957–2013). http://www.jcmit.com/memoryprice.htm[retrieved: Feb 11, 2014], Feb 2013

  15. National Center for Biotechnology Information, All Resources. http://www.ncbi.nlm.nih.gov/guide/all/[retrieved: Jan 5, 2013]

  16. National Human Genome Research Institute, DNA Sequencing Costs. http://www.genome.gov/sequencingcosts/[retrieved: Feb 11, 2014], Apr 2013

  17. H. Plattner, M.-P. Schapranow (eds.), High-Performance In-Memory Genome Data Analysis: How In-Memory Database Technology Accelerates Personalized Medicine (Springer, Heidelberg, 2014)

    Google Scholar 

  18. A.L. Rector, W.A. Nolan, S. Kay, Foundations for an electronic medical record. Methods Inform. Med. 179–186 (1991)

    Google Scholar 

  19. SAP AG und GfK Panel Services Deutschland, Professionalisierung des Promotionsmanagements im deutschen LEH. Eine Gemeinschaftsstudie von GfK und SAP (2011)

    Google Scholar 

  20. D. Schwalb, M. Faust, J. Krueger, H. Plattner, Leveraging in-memory technology for interactive analyses of point-of-sales data. Workshop on Big Data Customer Analytics in Conjunction with ICDE, 2014

    Google Scholar 

  21. M.-P. Schapranow, F. Häger, H. Plattner, High-performance in-memory genome project: a platform for integrated real-time genome data analysis, in Proceedings of the 2nd International Conference on Global Health Challenges (IARIA, 2013), pp. 5–10

    Google Scholar 

  22. The Genome Reference Consortium, Genome Assemblies. http://www.ncbi.nlm.nih.gov/projects/genome/assembly/grc/data.shtml[retrieved: Jan 5, 2013]

  23. T.J. Teorey, S.S. Lightstone, T. Nadeau, H.V. Jagadish, Database Modeling and Design: Logical Design, 5th edn. The Morgan Kaufmann Series in Data Management Systems (Elsevier Science, Burlington, 2011)

    Google Scholar 

  24. U.S. National Institutes of Health, Clinicaltrials.gov. http://www.clinicaltrials.gov/[retrieved: Jul 17, 2013], 2013

  25. U.S. National Library of Medicine, Unified Medical Language System (UMLS). http://www.nlm.nih.gov/research/umls/[retrieved: Sep 19, 2013], Jul 2013

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Plattner, H. (2014). Examples for New Enterprise Applications. In: A Course in In-Memory Data Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55270-0_35

Download citation

Publish with us

Policies and ethics