Isbn: 9783642193620 - in-memory data management (8 resultados)

Hardcover. Condición: Very Good. In-Memory Data Management: An Inflection Point for Enterprise Applications This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.…

Condición: Very Good. 1st Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. …

Hardcover. Condición: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Condición: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. …

gebundene Ausgabe. Condición: Gut. 236 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 495.

Condición: Wie neu. XVIII, 236 S. : graph. Darst. Tadelloses Ex.; wie neu. - Foreword - By - Prof John L Hennessy (Stanford University, California, USA) and Prof David A Patterson (University of California at Berkeley, USA) - Preface - Introduction - An Inflection Point for Enterprise Applications - Desirability, Feasibility, Viability - The Impact of In-Memory - Information in Real Time - Anything, Anytime, Anywhere - Response Time at the Speed of Thought - Real-Time Analytics and Computation on the Fly - The Impact of Recent Hardware Trends - Database Management Systems for Enterprise Applications - Main Memory Is the New Disk - From Maximizing CPU Speed to Multi-Core Processors - Increased Bandwidth between CPU and Main Memory - Reducing Cost through In-Memory Data Management - Total Cost of Ownership - Cost Factors in Enterprise Systems - In-Memory Performance Boosts Cost Reduction - Conclusion - Why Are Enterprise Applications So Diverse? - Current Enterprise Applications - Examples of Enterprise Applications - Enterprise Application Architecture - Data Processing in Enterprise Applications - Data Access Patterns in Enterprise Applications - Conclusion - SanssouciDB - Blueprint for an In-Memory Enterprise Database System - Targeting Multi-Core and Main Memory - Designing an In-Memory Database System - Organizing and Accessing Data in Main Memory - Conclusion - SanssouciDB - A Single Source of Truth through In-Memory - The Technical Foundations of SanssouciDB - Understanding Memory Hierarchies - Introduction to Main Memory - Organization of the Memory Hierarchy - Trends in Memory Hierarchies - Memory from a Programmer's Point of View - Parallel Data Processing Using Multi-Core and Across Servers - Increasing Capacity by Adding Resources - Parallel System Architectures - Parallelization in Databases for Enterprise Applications - Parallel Data Processing in SanssouciDB - Compression for Speed and Memory Consumption - Light-Weight Compression - Heavy-Weight Compression - Data-Dependent Optimization - Compression-Aware Query Execution - Compression Analysis on Real Data - Column, Row, Hybrid - Optimizing the Data Layout - Vertical Partitioning - Finding the Best Layout - Challenges for Hybrid Databases - The Impact of Visualization - Virtualizing Analytical Workloads - Data Model and Benchmarking Environment - Virtual versus Native Execution - Response Time Degradation with Concurrent VMs - Conclusion - Organizing and Accessing Data in SanssouciDB - SQL for Accessing In-Memory Data - The Role of SQL - The Lifecycle of a Query - Stored Procedures - Data Organization and Indices - Increasing Performance with Data Aging - Active and Passive Data - Implementation Considerations for an Aging Process - The Use Case for Horizontal Partitioning of Leads - Efficient Retrieval of Business Objects - Retrieving Business Data from a Database - Object Data Guide - Handling Data Changes in Read-Optimized Databases - The Impact on SanssouciDB - The Merge Process - Improving Performance with Single Column Merge - Append, Never Delete, to Keep the History Complete - Insert-Only Implementation Strategies - Minimizing Locking through Insert-Only - The Impact on Enterprise Applications - Feasibility of the Insert-Only Approach - Enabling Analytics on Transactional Data - Aggregation on the Fly - Analytical Queries without a Star Schema - Extending Data Layout without Downtime - Reorganization in a Row Store - On-The-Fly Addition in a Column Store - Business Resilience through Advanced Logging Techniques - Recovery in Column Stores - Differential Logging for Row-Oriented Databases - Providing High Availability - The Importance of Optimal Scheduling for Mixed Workloads - Introduction to Scheduling - Characteristics of a Mixed Workload - Scheduling Short and Long Running Tasks - Conclusion - How In-Memory Changes the Game - Application Development - Optimizing Application Development for SanssouciDB - Application Architecture - Moving Business Logic into the Database -. …

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Condición: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.