Datenbank-Tuning
eBook - PDF

Datenbank-Tuning

Mit innovativen Methoden

Stefan Florczyk

  1. 539 pages
  2. German
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Datenbank-Tuning

Mit innovativen Methoden

Stefan Florczyk

Book details
Table of contents
Citations

About This Book

Beim Verarbeiten großer Datenmengen (Big Data) ist der Zeitfaktor entscheidend. Durch das Tuning der AblĂ€ufe können diese extrem verkĂŒrzt werden. Herkömmliche Methoden liefern dabei schon gute Ergebnisse. Die hier zusĂ€tzlich dargestellten, innovativen Methoden haben Anwendern bereits hohe Kosten eingespart. Die Methoden sind an Oracle Datenbanken beispielhaft durchgefĂŒhrt, können aber auf alle anderen Datenbankprogramme ĂŒbertragen werden.

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Information

Year
2019
ISBN
9783110601817
Edition
1

Table of contents

  1. Inhalt
  2. Abbildungsverzeichnis
  3. Tabellenverzeichnis
  4. AbkĂŒrzungsverzeichnis
  5. 1. Einleitung
  6. 2. Grundlagen
  7. 3. Statistik
  8. 4. Fundamentale Hints
  9. 5. Hints fĂŒr den speziellen Einsatz
  10. 6. An der Hardware orientierte Basiskonzepte
  11. 7. Spezielle Konzepte fĂŒr die Laufzeitoptimierung
  12. 8. AWR-Reporte
  13. 9. SQL Plan Management
  14. 10. CORDA
  15. 11. Virtuelle Partitionierung
  16. 12. Zusammenfassung
  17. Literatur
  18. Stichwortverzeichnis
Citation styles for Datenbank-Tuning

APA 6 Citation

Florczyk, S. (2019). Datenbank-Tuning (1st ed.). De Gruyter. Retrieved from https://www.perlego.com/book/1357839/datenbanktuning-mit-innovativen-methoden-pdf (Original work published 2019)

Chicago Citation

Florczyk, Stefan. (2019) 2019. Datenbank-Tuning. 1st ed. De Gruyter. https://www.perlego.com/book/1357839/datenbanktuning-mit-innovativen-methoden-pdf.

Harvard Citation

Florczyk, S. (2019) Datenbank-Tuning. 1st edn. De Gruyter. Available at: https://www.perlego.com/book/1357839/datenbanktuning-mit-innovativen-methoden-pdf (Accessed: 14 October 2022).

MLA 7 Citation

Florczyk, Stefan. Datenbank-Tuning. 1st ed. De Gruyter, 2019. Web. 14 Oct. 2022.