Order Total (1 Item Items):
Shipping Destination:
Building Columnar Database Ramcloud by Tinnefeld Christian (32 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (32)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (27)
- As New, Fine or Near Fine (4)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (1)
Binding
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (14)
- Not Print on Demand (23)
Language (1)
Free Shipping
- Free Shipping to U.S.A. (No further results match this refinement)
Seller Location
Seller Rating
-
Building a columnar database on RAMCloud. Database design for the low-latency enabled data center.
Published by Cham/Heidelberg [u.a.], Springer., 2016
ISBN 10: 3319207105 ISBN 13: 9783319207100
Language: English
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 5 out of 5 stars
xix, 130 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
-
-
-
-
Condition: New. SUPER FAST SHIPPING.
-
Condition: New. SUPER FAST SHIPPING.
-
Condition: As New. Unread book in perfect condition.
-
Building a Columnar Database on RAMCloud: Database Design for the Low-Latency Enabled Data Center (In-Memory Data Management Research)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 64.73
US$ 15.73 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Building a Columnar Database on RAMCloud: Database Design for the Low-Latency Enabled Data Center (In-Memory Data Management Research)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 66.43
US$ 15.73 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
-
Building a Columnar Database on RAMCloud : Database Design for the Low-latency Enabled Data Center
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 66.41
US$ 19.69 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Condition: New. pp. 152 Softcover reprint of the original 1st ed. 2016 edition NO-PA16APR2015-KAP.
-
-
Building a Columnar Database on RAMCloud : Database Design for the Low-latency Enabled Data Center
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 75.42
US$ 19.69 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Hardcover. Condition: Brand New. 152 pages. 9.25x6.25x0.50 inches. In Stock.
-
Building a Columnar Database on Ramcloud: Database Design for the Low-latency Enabled Data Center
Published by Springer-Verlag New York Inc, 2016
ISBN 10: 3319373897 ISBN 13: 9783319373898
Language: English
Paperback. Condition: Brand New. reprint edition. 149 pages. 9.25x6.10x0.33 inches. In Stock.
-
Building a Columnar Database on RAMCloud
Published by Springer International Publishing, Springer International Publishing Okt 2016, 2016
ISBN 10: 3319373897 ISBN 13: 9783319373898
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -This book examines the field of parallel database management systems and illustrates the great variety of solutions based on a shared-storage or a shared-nothing architecture.Constantly dropping memory prices and the desire to operate with low-latency responses on large sets of data paved the way for main memory-based parallel database management systems. However, this area is currently dominated by the shared-nothing approach in order to preserve the in-memory performance advantage by processing data locally on each server. The main argument this book makes is that such an unilateral development will cease due to the combination of the following three trends: a) Today¿s network technology features remote direct memory access (RDMA) and narrows the performance gap between accessing main memory on a server and of a remote server to and even below a single order of magnitude. b) Modern storage systems scale gracefully, are elastic and provide high-availability. c) A modern storage system such as Stanford¿s RAM Cloud even keeps all data resident in the main memory. Exploiting these characteristics in the context of a main memory-based parallel database management system is desirable. The book demonstrates that the advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage approach feasible.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 152 pp. Englisch.
-
Building a Columnar Database on RAMCloud
Published by Springer International Publishing, Springer International Publishing Jul 2015, 2015
ISBN 10: 3319207105 ISBN 13: 9783319207100
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -This book examines the field of parallel database management systems and illustrates the great variety of solutions based on a shared-storage or a shared-nothing architecture.Constantly dropping memory prices and the desire to operate with low-latency responses on large sets of data paved the way for main memory-based parallel database management systems. However, this area is currently dominated by the shared-nothing approach in order to preserve the in-memory performance advantage by processing data locally on each server. The main argument this book makes is that such an unilateral development will cease due to the combination of the following three trends: a) Today¿s network technology features remote direct memory access (RDMA) and narrows the performance gap between accessing main memory on a server and of a remote server to and even below a single order of magnitude. b) Modern storage systems scale gracefully, are elastic and provide high-availability. c) A modern storage system such as Stanford¿s RAM Cloud even keeps all data resident in the main memory. Exploiting these characteristics in the context of a main memory-based parallel database management system is desirable. The book demonstrates that the advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage approach feasible.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 152 pp. Englisch.
-
Building a Columnar Database on RAMCloud : Database Design for the Low-Latency Enabled Data Center
Published by Springer International Publishing, Springer International Publishing, 2016
ISBN 10: 3319373897 ISBN 13: 9783319373898
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book examines the field of parallel database management systems and illustrates the great variety of solutions based on a shared-storage or a shared-nothing architecture. Constantly dropping memory prices and the desire to operate with low-latency responses on large sets of data paved the way for main memory-based parallel database management systems. However, this area is currently dominated by the shared-nothing approach in order to preserve the in-memory performance advantage by processing data locally on each server. The main argument this book makes is that such an unilateral development will cease due to the combination of the following three trends: a) Today's network technology features remote direct memory access (RDMA) and narrows the performance gap between accessing main memory on a server and of a remote server to and even below a single order of magnitude. b) Modern storage systems scale gracefully, are elastic and provide high-availability. c) A modern storage system such as Stanford's RAM Cloud even keeps all data resident in the main memory. Exploiting these characteristics in the context of a main memory-based parallel database management system is desirable. The book demonstrates that the advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage approach feasible.
-
Building a Columnar Database on RAMCloud : Database Design for the Low-Latency Enabled Data Center
Published by Springer International Publishing, 2015
ISBN 10: 3319207105 ISBN 13: 9783319207100
Language: English
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book examines the field of parallel database management systems and illustrates the great variety of solutions based on a shared-storage or a shared-nothing architecture. Constantly dropping memory prices and the desire to operate with low-latency responses on large sets of data paved the way for main memory-based parallel database management systems. However, this area is currently dominated by the shared-nothing approach in order to preserve the in-memory performance advantage by processing data locally on each server. The main argument this book makes is that such an unilateral development will cease due to the combination of the following three trends: a) Today's network technology features remote direct memory access (RDMA) and narrows the performance gap between accessing main memory on a server and of a remote server to and even below a single order of magnitude. b) Modern storage systems scale gracefully, are elastic and provide high-availability. c) A modern storage system such as Stanford's RAM Cloud even keeps all data resident in the main memory. Exploiting these characteristics in the context of a main memory-based parallel database management system is desirable. The book demonstrates that the advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage approach feasible.
-
Building a Columnar Database on RAMCloud : Database Design for the Low-Latency Enabled Data Center
Published by Springer International Publishing, 2015
ISBN 10: 3319207105 ISBN 13: 9783319207100
Language: English
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
-
Building a Columnar Database on RAMCloud | Database Design for the Low-Latency Enabled Data Center
Published by Springer International Publishing, 2016
ISBN 10: 3319373897 ISBN 13: 9783319373898
Language: English
Taschenbuch. Condition: Neu. Building a Columnar Database on RAMCloud | Database Design for the Low-Latency Enabled Data Center | Christian Tinnefeld | Taschenbuch | xix | Englisch | 2016 | Springer International Publishing | EAN 9783319373898 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
-
Paperback. Condition: Like New. Like New. book.
-
Building a Columnar Database on RAMCloud
Published by Springer International Publishing Okt 2016, 2016
ISBN 10: 3319373897 ISBN 13: 9783319373898
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book examines the field of parallel database management systems and illustrates the great variety of solutions based on a shared-storage or a shared-nothing architecture. Constantly dropping memory prices and the desire to operate with low-latency responses on large sets of data paved the way for main memory-based parallel database management systems. However, this area is currently dominated by the shared-nothing approach in order to preserve the in-memory performance advantage by processing data locally on each server. The main argument this book makes is that such an unilateral development will cease due to the combination of the following three trends: a) Today's network technology features remote direct memory access (RDMA) and narrows the performance gap between accessing main memory on a server and of a remote server to and even below a single order of magnitude. b) Modern storage systems scale gracefully, are elastic and provide high-availability. c) A modern storage system such as Stanford's RAM Cloud even keeps all data resident in the main memory. Exploiting these characteristics in the context of a main memory-based parallel database management system is desirable. The book demonstrates that the advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage approach feasible. 152 pp. Englisch.
-
Building a Columnar Database on RAMCloud
Published by Springer International Publishing Jul 2015, 2015
ISBN 10: 3319207105 ISBN 13: 9783319207100
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book examines the field of parallel database management systems and illustrates the great variety of solutions based on a shared-storage or a shared-nothing architecture. Constantly dropping memory prices and the desire to operate with low-latency responses on large sets of data paved the way for main memory-based parallel database management systems. However, this area is currently dominated by the shared-nothing approach in order to preserve the in-memory performance advantage by processing data locally on each server. The main argument this book makes is that such an unilateral development will cease due to the combination of the following three trends: a) Today's network technology features remote direct memory access (RDMA) and narrows the performance gap between accessing main memory on a server and of a remote server to and even below a single order of magnitude. b) Modern storage systems scale gracefully, are elastic and provide high-availability. c) A modern storage system such as Stanford's RAM Cloud even keeps all data resident in the main memory. Exploiting these characteristics in the context of a main memory-based parallel database management system is desirable. The book demonstrates that the advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage approach feasible. 152 pp. Englisch.
-
Condition: New. Print on Demand pp. 152.
-
Condition: New. PRINT ON DEMAND pp. 152.
-
Condition: New. Print on Demand pp. 130.
-
Condition: New. PRINT ON DEMAND pp. 130.
-
Building a Columnar Database on RAMCloud
Published by Springer International Publishing, 2016
ISBN 10: 3319373897 ISBN 13: 9783319373898
Language: English
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensively analyzes existing and new solutions for disk-based parallel database management systemsDemonstrates the feasibility of a parallel main memory DBMS based on shared-storageProvides a showcase for creating a columnar databa.
