2011, ISBN: 9783642193620

Berlin ; Heidelberg, Springer, XVIII, 236 S. : graph. Darst. Fadengehefteter Originalpappband mit Schutzumschlag. Tadelloses Ex.; wie neu. - Foreword - By - Prof John L Hennessy (Stanford… Mehr…

Berlin ; Heidelberg, Springer, XVIII, 236 S. : graph. Darst. Fadengehefteter Originalpappband mit Schutzumschlag. 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 - Best Practices - Innovative Enterprise Applications - New Analytical Applications - Operational Processing to Simplify Daily Business - Information at Your Fingertips with Innovative User-Interfaces // u.a.m. ISBN 9783642193620Informatik [Betriebliches Informationssystem ; Datenmanagement ; In-Memory-Datenbank, Management] 2011, [PU: Springer, Berlin/Heidelberg/New York, NY]<

2011, ISBN: 9783642193620

Springer, Gebundene Ausgabe, Auflage: 2011, 254 Seiten, Publiziert: 2011-03-23T00:00:01Z, Produktgruppe: Buch, 0.54 kg, Verkaufsrang: 683157, Recht, Kategorien, Bücher, Informationsmanage… Mehr…

Springer, Gebundene Ausgabe, Auflage: 2011, 254 Seiten, Publiziert: 2011-03-23T00:00:01Z, Produktgruppe: Buch, 0.54 kg, Verkaufsrang: 683157, Recht, Kategorien, Bücher, Informationsmanagement, Management, Business & Karriere, Hardware & Technik, Computer & Internet, Informatik, IT-Ausbildung & -Berufe, Ingenieurwissenschaft & Technik, Naturwissenschaften & Technik, Mathematik, Fremdsprachige Bücher, Featured Categories, Englische Bücher, 7c9a6c79-19ea-4dea-90da-d7d47042d341_2301, 7c9a6c79-19ea-4dea-90da-d7d47042d341_0, Arborist Merchandising Root, acc906d0-2585-4921-a56f-3ff277850936_4901, acc906d0-2585-4921-a56f-3ff277850936_0, Special Features Stores, Springer, 2011<