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Erschienen in: Business & Information Systems Engineering 4/2012

01.08.2012 | Discussion

Comments on “In-Memory Databases in Business Information Systems”

verfasst von: Prof. Dr. Peter Loos, Stefan Strohmeier, Gunther Piller, Reinhard Schütte

Erschienen in: Business & Information Systems Engineering | Ausgabe 4/2012

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In-memory databases, which keep the full data set in the main memory for reading accesses, and their application in business information systems, receive more and more attention due to the development and marketing of SAP technology HANA. In issue 6/2011 of the journal Business & Information Systems Engineering, a total of 11 authors discuss potential applications of in-memory databases in business scenarios in 6 articles (Loos et al. 2011). Thereby, questions about the capability of in-memory technology, resulting consequences for OLTP and OLAP applications as well as implications on the architecture of business information systems, amongst others, were in the focus of the discussion. After publication, the first author received feedback and suggestions. Three of these responses resulted in written statements:
  • Strohmeier focuses on the question whether or not future OLTP and OLAP applications should be integrated. He states that concepts for both an operative decision support and for the provision of operative real-time information need to be developed. As a result, he sees a demand for more research in the area “Operational Business Intelligence”.
  • Piller provides more examples of application scenarios, which emerge with in-memory databases. For instance, operative reporting, adaptive planning, explorative mass data analysis or the analysis of consumer data from embedded systems.
  • Schütte explains, after a description of implicit presumptions and requirements for in-memory technology, the potential of in-memory technology using a practical example of the EDEKA group, which he sees in batch processes, initial supply, and release change.
If you like to comment on this topic or another article of the journal Business & Information Systems Engineering, please send your feedback to loos@iwi.uni-sb.de. …

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Literatur
Zurück zum Zitat Loos P, Lechtenbörger J, Vossen G, Zeier A, Krüger J, Müller J, Lehner W, Kossmann D, Fabian B, Günther O, Winter R (2011) In-memory databases in business information systems. Business & Information Systems Engineering 3(6):389–395 CrossRef Loos P, Lechtenbörger J, Vossen G, Zeier A, Krüger J, Müller J, Lehner W, Kossmann D, Fabian B, Günther O, Winter R (2011) In-memory databases in business information systems. Business & Information Systems Engineering 3(6):389–395 CrossRef
Zurück zum Zitat Azvine B, Cui Z, Nauck D, Majeed B (2006) Real time business intelligence for the adaptive enterprise. In: The 8th IEEE international conference on and enterprise computing, e-commerce, and e-services, pp 29–39 CrossRef Azvine B, Cui Z, Nauck D, Majeed B (2006) Real time business intelligence for the adaptive enterprise. In: The 8th IEEE international conference on and enterprise computing, e-commerce, and e-services, pp 29–39 CrossRef
Zurück zum Zitat Bucher T, Gericke A, Sigg S (2009) Process-centric business intelligence. Business Process Management Journal 15(3):408–429 CrossRef Bucher T, Gericke A, Sigg S (2009) Process-centric business intelligence. Business Process Management Journal 15(3):408–429 CrossRef
Zurück zum Zitat Eckerson WW (2007) Best practices in operational BI. Converging analytical and operational processes. TDWI best practice reports Eckerson WW (2007) Best practices in operational BI. Converging analytical and operational processes. TDWI best practice reports
Zurück zum Zitat Gluchowski P, Kemper G, Seufert A (2009) Innovative Prozesssteuerung. Was ist neu an operational BI? BI Spektrum 4(1):8–12 Gluchowski P, Kemper G, Seufert A (2009) Innovative Prozesssteuerung. Was ist neu an operational BI? BI Spektrum 4(1):8–12
Zurück zum Zitat Hackathorn R (2003) Minimizing action distance. The Data Administration Newsletter 25(3):22–23 Hackathorn R (2003) Minimizing action distance. The Data Administration Newsletter 25(3):22–23
Zurück zum Zitat Kemper A, Neumann T (2011) One size fits all, again! The architecture of the hybrid OLTP & OLAP database Hyper. In: Castellanos M, Umeshwar D, Markl V (eds) Enabling real time business intelligence. Lecture notes in business information processing, vol 84, pp 7–23 CrossRef Kemper A, Neumann T (2011) One size fits all, again! The architecture of the hybrid OLTP & OLAP database Hyper. In: Castellanos M, Umeshwar D, Markl V (eds) Enabling real time business intelligence. Lecture notes in business information processing, vol 84, pp 7–23 CrossRef
Zurück zum Zitat Nijkamp E, Oberhofer M (2009) Embedded analytics in front office applications. In: Freytag JC, Ruf T, Lehner W, Vossen G (eds) BTW 144, pp 449–459 Nijkamp E, Oberhofer M (2009) Embedded analytics in front office applications. In: Freytag JC, Ruf T, Lehner W, Vossen G (eds) BTW 144, pp 449–459
Zurück zum Zitat Plattner H (2009) A common database approach for OLTP and OLAP using an inmemory column data base. In: Proceedings of the ACM SIGMOD, Providence, pp 1–7 Plattner H (2009) A common database approach for OLTP and OLAP using an inmemory column data base. In: Proceedings of the ACM SIGMOD, Providence, pp 1–7
Zurück zum Zitat White C (2006) The next generation of business intelligence: operational BI. BI research white paper White C (2006) The next generation of business intelligence: operational BI. BI research white paper
Zurück zum Zitat Winter R (2011) In-Memory-Appliances – Ein Fortschritt in der Informationslogistik? WIRTSCHAFTSINFORMATIK 53(6):388–390 Winter R (2011) In-Memory-Appliances – Ein Fortschritt in der Informationslogistik? WIRTSCHAFTSINFORMATIK 53(6):388–390
Zurück zum Zitat Emrich A, Werth D, Loos P (2012) Real-time semantic process change impact analysis. In: Proc Workshop Innovative Unternehmensanwendungen mit in-memory Data Management, Mainz. LNI P-193, pp 91–100 Emrich A, Werth D, Loos P (2012) Real-time semantic process change impact analysis. In: Proc Workshop Innovative Unternehmensanwendungen mit in-memory Data Management, Mainz. LNI P-193, pp 91–100
Zurück zum Zitat Loos P, Lechtenbörger J, Vossen G, Zeier A, Krüger J, Müller J, Lehner W, Kossmann D, Fabian B, Günther O, Winter R (2011) In-memory databases in business information systems. Business & Information Systems Engineering 3(6):389–395 CrossRef Loos P, Lechtenbörger J, Vossen G, Zeier A, Krüger J, Müller J, Lehner W, Kossmann D, Fabian B, Günther O, Winter R (2011) In-memory databases in business information systems. Business & Information Systems Engineering 3(6):389–395 CrossRef
Zurück zum Zitat Piller G, Hagedorn J (2011) Einsatzpotenziale für In-Memory Data Management in Betrieblichen Anwendungssystemen. Wirtschaftsinformatik & Management 3(5):18–25 CrossRef Piller G, Hagedorn J (2011) Einsatzpotenziale für In-Memory Data Management in Betrieblichen Anwendungssystemen. Wirtschaftsinformatik & Management 3(5):18–25 CrossRef
Zurück zum Zitat Piller G, Hagedorn J (2012) In: In-Memory Data Management im Einzelhandel: Einsatzbereiche und Nutzenpotentiale. Proc Multikonferenz Wirtschaftsinformatik 2012 (MKWI2012), Braunschweig, GITO, Berlin, pp 59–79 Piller G, Hagedorn J (2012) In: In-Memory Data Management im Einzelhandel: Einsatzbereiche und Nutzenpotentiale. Proc Multikonferenz Wirtschaftsinformatik 2012 (MKWI2012), Braunschweig, GITO, Berlin, pp 59–79
Zurück zum Zitat Schütte R (2012) Analyse des Einsatzpotentials von In-Memory-Technologie in Handelsinformationssystemen. In: Proc Workshop Innovative Unternehmensanwendungen mit In-Memory Data Management, Mainz, LNI P-193, pp 1–12 Schütte R (2012) Analyse des Einsatzpotentials von In-Memory-Technologie in Handelsinformationssystemen. In: Proc Workshop Innovative Unternehmensanwendungen mit In-Memory Data Management, Mainz, LNI P-193, pp 1–12
Zurück zum Zitat Fabian B, Günther O (2011) In-memory data management for business intelligence. Business & Information Systems Engineering 3(6):393–394 Fabian B, Günther O (2011) In-memory data management for business intelligence. Business & Information Systems Engineering 3(6):393–394
Zurück zum Zitat Kossmann D (2011) Simplicity is the name of the game. Business & Information Systems Engineering 3(6):386–387 Kossmann D (2011) Simplicity is the name of the game. Business & Information Systems Engineering 3(6):386–387
Zurück zum Zitat Lechtenbörger J, Vossen G (2011) In-memory database technology: challenges and opportunities. Business & Information Systems Engineering 3(6):384–385 Lechtenbörger J, Vossen G (2011) In-memory database technology: challenges and opportunities. Business & Information Systems Engineering 3(6):384–385
Zurück zum Zitat Loos P (2011) In-memory databases in business information systems. Business & Information Systems Engineering 3(6):389–390 CrossRef Loos P (2011) In-memory databases in business information systems. Business & Information Systems Engineering 3(6):389–390 CrossRef
Zurück zum Zitat Sigg S (2011) SAP HANA and business applications. Presentation, October 2011 Sigg S (2011) SAP HANA and business applications. Presentation, October 2011
Zurück zum Zitat Winter R (2011) In-memory appliances – a substantial progress in information logistics? Business & Information Systems Engineering 3(6):394–395 Winter R (2011) In-memory appliances – a substantial progress in information logistics? Business & Information Systems Engineering 3(6):394–395
Zurück zum Zitat Zeier A, Krüger J, Müller J (2011) Potential of in-memory technologies. Business & Information Systems Engineering 3(6):390 Zeier A, Krüger J, Müller J (2011) Potential of in-memory technologies. Business & Information Systems Engineering 3(6):390
Metadaten
Titel
Comments on “In-Memory Databases in Business Information Systems”
verfasst von
Prof. Dr. Peter Loos
Stefan Strohmeier
Gunther Piller
Reinhard Schütte
Publikationsdatum
01.08.2012
Verlag
SP Gabler Verlag
Erschienen in
Business & Information Systems Engineering / Ausgabe 4/2012
Print ISSN: 2363-7005
Elektronische ISSN: 1867-0202
DOI
https://doi.org/10.1007/s12599-012-0222-8

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