In-Memory Data Management und über 1,5 Millionen weitere Bücher verfügbar für Amazon Kindle. Erfahren Sie mehr

Neu kaufen

oder
Loggen Sie sich ein, um 1-Click® einzuschalten.
oder
Mit kostenloser Probeteilnahme bei Amazon Prime. Melden Sie sich während des Bestellvorgangs an. Erfahren Sie mehr
Gebraucht kaufen
Gebraucht - Sehr gut Informationen anzeigen
Preis: EUR 39,94

oder
Loggen Sie sich ein, um 1-Click® einzuschalten.
 
   
Jetzt eintauschen
und EUR 7,25 Gutschein erhalten
Eintausch
Alle Angebote
Möchten Sie verkaufen? Hier verkaufen
Der Artikel ist in folgender Variante leider nicht verfügbar
Keine Abbildung vorhanden für
Farbe:
Keine Abbildung vorhanden

 
Beginnen Sie mit dem Lesen von In-Memory Data Management auf Ihrem Kindle in weniger als einer Minute.

Sie haben keinen Kindle? Hier kaufen oder eine gratis Kindle Lese-App herunterladen.

In-Memory Data Management: Technology and Applications [Englisch] [Gebundene Ausgabe]

Hasso Plattner , Alexander Zeier
5.0 von 5 Sternen  Alle Rezensionen anzeigen (2 Kundenrezensionen)
Unverb. Preisempf.: EUR 48,10
Preis: EUR 46,90 kostenlose Lieferung. Siehe Details.
Sie sparen: EUR 1,20 (2%)
  Alle Preisangaben inkl. MwSt.
o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o
Nur noch 6 auf Lager (mehr ist unterwegs).
Verkauf und Versand durch Amazon. Geschenkverpackung verfügbar.
Lieferung bis Donnerstag, 23. Mai: Wählen Sie an der Kasse Morning-Express. Siehe Details.

Weitere Ausgaben

Amazon-Preis Neu ab Gebraucht ab
Kindle Edition EUR 33,67  
Gebundene Ausgabe EUR 46,90  

Kurzbeschreibung

14. Mai 2012
In the last fifty years the world has been completely transformed through the use of IT. We have now reached a new inflection point. This book presents, for the first time, how in-memory data management is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. This book provides the technical foundation for processing combined transactional and analytical operations in the same database. In the year since we published the first edition of this book, the performance gains enabled by the use of in-memory technology in enterprise applications has truly marked an inflection point in the market. The new content in this second edition focuses on the development of these in-memory enterprise applications, showing how they leverage the capabilities of in-memory technology.

 The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes.

Wird oft zusammen gekauft

In-Memory Data Management: Technology and Applications + SAP HANA: SAP's In-Memory Technology (SAP PRESS: englisch)
Preis für beide: EUR 116,85

Die ausgewählten Artikel zusammen kaufen

Kunden, die diesen Artikel gekauft haben, kauften auch


Produktinformation


Produktbeschreibungen

Pressestimmen

Prof. David Simchi-Levi (Massachusetts Institute of Technology, Cambridge, USA)    The book "In-Memory Data Management - Technology and Applications" by Hasso Plattner and Alexander Zeier describes a revolutionary database technology and many implementation examples for business intelligence and operations. Of particular interest to me are the great opportunities opening up in supply chain management, where the need to balance the speed of planning algorithms with data granularity has been a long time obstacle to performance and usability.    Prof. Karl Max Einhäupl (CEO, Charité -- Universitätsmedizin Berlin, Germany)    Personalized health care requires the combination of distributed medical data. In-memory technology enables us to analyze millions of patient records within a second and allows us to devise therapies even closer to the patients individual needs than ever before.   Heiko Hubertz (CEO and Founder, Bigpoint GmbH, Hamburg, Germany) It rarely happens that a emerging new technology can be seen as a “game changer” for a whole industry. But I think this is the case when it comes to in-memory database systems. Tasks which took hours or days can now be executed in seconds which is the technical foundation for establishing completely new business ideas. It dramatically speeds up the execution time of data analytics and thereby creates a much greater experience for the end user on our Bigpoint Gaming Platform. The book “In-Memory Data Management – Technology and Applications” from Hasso Plattner and Alexander Zeier describes not only the technical foundations but also the implications for new exciting applications.   Dr. Ralf Schneider (CIO, Allianz SE, Munich, Germany)    Being IT savvy and leveraging advances in Information Technology is the most important competitive advantage in today's business world. I see in-memory technology as described in the book "In-Memory Data Management - Technology and Applications" from Plattner and Zeier as one of the most important innovations in the field of IT. The value for the economy as a whole far outweighs the effort of adapting the applications to this new standard. It dramatically speeds up the execution time of business processes, it allows for significantly more detailed and real-time data analytics and thereby creates a much greater experience for the end user. It brings business computing to a level where it is absolutely snappy and fun to work with.    

Buchrückseite

In the last fifty years the world has been completely transformed through the use of IT. We have now reached a new inflection point. This book presents, for the first time, how in-memory data management is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. This book provides the technical foundation for processing combined transactional and analytical operations in the same database. In the year since we published the first edition of this book, the performance gains enabled by the use of in-memory technology in enterprise applications has truly marked an inflection point in the market. The new content in this second edition focuses on the development of these in-memory enterprise applications, showing how they leverage the capabilities of in-memory technology. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes.

Welche anderen Artikel kaufen Kunden, nachdem sie diesen Artikel angesehen haben?


In diesem Buch (Mehr dazu)
Ausgewählte Seiten ansehen
Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis
Hier reinlesen und suchen:

Kundenrezensionen

4 Sterne
0
3 Sterne
0
2 Sterne
0
1 Sterne
0
5.0 von 5 Sternen
5.0 von 5 Sternen
Die hilfreichsten Kundenrezensionen
3 von 3 Kunden fanden die folgende Rezension hilfreich
Format:Gebundene Ausgabe
This book gives a more academic view on how IMDBMS can be implemented and what factors have to be kept in mind for a successful implementation of such a type of DBMS. These factors include internal software architecture, hardware aspects like CPU memory caching and how all components play together. IM computing is not just accessing data in RAM w/o external device access. It is much more, including strategies for parallelizing the access, workload distribution, memory management, efficient compression and decompression and why structures and data objects are designed in one way and not in another. It is like understanding how a B-Tree is working and why it was so successful as a data structure for indexation in RDBMSs. You (nearly) can't influence it from outside the RDBMS as a structure but understanding how it works helps you to use it better. For me, reading this book helped that IMDBMS loose some of the black box character they had to me before, how columnar data storage and access can be implemented and what additional aspects have to be kept in mind when dealing with it. Also of interest were the descriptions of how data manipulation can be implemented like inserts, deletes and updates and what the consequences on data management are (insert only, clean up & deltamerge). I also enjoyed the chapters about query processing strategies and operator processing in massive parallel environments and how workload balancing needs to be taken into account. Additional topics that are covered in the book are how a backup, restore and other house keeping jobs can be implemented.
This book is for people who want to see a little bit behind the scenes of how IMDBMS can be implemented and work internally. Interesting aspects that could be covered additionally by the book would be how SQLscripting language is parallelized internally by the engine during the execution of the script logic and how the ACID principle is enforced as I still struggle with how row locking concepts as known from RDBMS can be applied to column based structures.
War diese Rezension für Sie hilfreich?
3 von 3 Kunden fanden die folgende Rezension hilfreich
Format:Gebundene Ausgabe
If you are looking to understand the next generation of information technology and the hype surrounding "Big Data", look no further than Hasso Plattner and Alexander Zeier's groundbreaking book, "In-Memory Data Management: Technology and Applications". As the authors demonstrate, processor power and memory capacity have reached inflection points where we can realistically envision a new world of applications built on in-memory technology that are capable of crunching massive amounts of data in real time. They articulate for us just how critical in-memory breakthroughs are to this next phase of technological progress and describe in fascinating detail the basic design of a prototype columnar storage database that makes use of advanced compression algorithms and multi-core processing to turbocharge both analytical and transaction processing systems. It is easy to envision the new world of enterprise, analytical, cloud and mobile applications that leverage in-memory technology to put information and insight into the hands of users instantaneously. And in 2012 few can disagree with the last chapter, "The In-Memory Revolution Has Begun", when you see the very real-life success of the SAP HANA platform that is based on the concepts in this revolutionary book. It should be required reading for anyone working at the intersection of business and technology today.
War diese Rezension für Sie hilfreich?
Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)
Amazon.com: 3.7 von 5 Sternen  3 Rezensionen
1 von 1 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen Great contents. Kindle formatting is unreadable 16. Februar 2013
Von Kevin J. Rowett - Veröffentlicht auf Amazon.com
Format:Kindle Edition|Von Amazon bestätigter Kauf
Excellent content by dr. Platter. Kindle version is impossible to read. Bold font thruout. Text in the wrong place. Figures not tagged. Pages not formatted. Forward is al right justified, ragged left.

Dumped the kindle version and ordered the paper version.

KR
3 von 4 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Understand Big Data and the Next Generation of IT 23. Juli 2012
Von Sam Sliman, President, Optimal Solutions - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
If you are looking to understand the next generation of information technology and the hype surrounding "Big Data", look no further than Hasso Plattner and Alexander Zeier's groundbreaking book, "In-Memory Data Management: Technology and Applications". As the authors demonstrate, processor power and memory capacity have reached inflection points where we can realistically envision a new world of applications built on in-memory technology that are capable of crunching massive amounts of data in real time. They articulate for us just how critical in-memory breakthroughs are to this next phase of technological progress and describe in fascinating detail the basic design of a prototype columnar storage database that makes use of advanced compression algorithms and multi-core processing to turbocharge both analytical and transaction processing systems. It is easy to envision the new world of enterprise, analytical, cloud and mobile applications that leverage in-memory technology to put information and insight into the hands of users instantaneously. And in 2012 few can disagree with the last chapter, "The In-Memory Revolution Has Begun", when you see the very real-life success of the SAP HANA platform that is based on the concepts in this revolutionary book. It should be required reading for anyone working at the intersection of business and technology today.
0 von 1 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Very interesting insight. 5. Oktober 2012
Von Philipp Louis Nell - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
This book gives a more academic view on how IMDBMS can be implemented and what factors have to be kept in mind for a successful implementation of such a type of DBMS. These factors include internal software architecture, hardware aspects like CPU memory caching and how all components play together. IM computing is not just accessing data in RAM w/o external device access. It is much more, including strategies for parallelizing the access, workload distribution, memory management, efficient compression and decompression and why structures and data objects are designed in one way and not in another. It is like understanding how a B-Tree is working and why it was so successful as a data structure for indexation in RDBMSs. You (nearly) can't influence it from outside the RDBMS as a structure but understanding how it works helps you to use it better. For me, reading this book helped that IMDBMS loose some of the black box character they had to me before, how columnar data storage and access can be implemented and what additional aspects have to be kept in mind when dealing with it. Also of interest were the descriptions of how data manipulation can be implemented like inserts, deletes and updates and what the consequences on data management are (insert only, clean up & deltamerge). I also enjoyed the chapters about query processing strategies and operator processing in massive parallel environments and how workload balancing needs to be taken into account. Additional topics that are covered in the book are how a backup, restore and other house keeping jobs can be implemented.
This book is for people who want to see a little bit behind the scenes of how IMDBMS can be implemented and work internally. Interesting aspects that could be covered additionally by the book would be how SQLscripting language is parallelized internally by the engine during the execution of the script logic and how the ACID principle is enforced as I still struggle with how row locking concepts as known from RDBMS can be applied to column based structures.
Waren diese Rezensionen hilfreich?   Wir wollen von Ihnen hören.
Kundenrezensionen suchen
Nur in den Rezensionen zu diesem Produkt suchen

Kunden diskutieren

Das Forum zu diesem Produkt
Diskussion Antworten Jüngster Beitrag
Noch keine Diskussionen

Fragen stellen, Meinungen austauschen, Einblicke gewinnen
Neue Diskussion starten
Thema:
Erster Beitrag:
Eingabe des Log-ins
 


Aktive Diskussionen in ähnlichen Foren
Kundendiskussionen durchsuchen
Alle Amazon-Diskussionen durchsuchen
   
Ähnliche Foren


Lieblingslisten


Ähnliche Artikel finden


Ihr Kommentar


Datenschutzerklärung von Amazon.de Versandbedingungen von Amazon.de Umtausch- & Rücknahme bei Amazon.de