In-memory data management : an inflection point for enterprise applications.

Lingua: inglese

Editore: Berlin ; Heidelberg : Springer, 2011

3642193625 / 9783642193620

Da: Borkert, Schwarz und Zerfaß GbR, Berlin, GermaniaBorkert, Schwarz und Zerfaß GbR

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Descrizione dell’articolo da parte del venditore

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 -.…

Codice articolo 1035948

Titolo
In-memory data management : an inflection point for enterprise applications.
Autore
Plattner, Hasso and Alexander Zeier:
Editore
Berlin ; Heidelberg : Springer
Anno di pubblicazione
2011
Condizione
Wie neu
Sovraccoperta
sovraccoperta
Rilegatura
Rilegato
Lingua
inglese
ISBN 10
3642193625
ISBN 13
9783642193620
Peso dell'articolo
518 grammi
Cataloghi dei venditori
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Borkert, Schwarz und Zerfaß GbR

Berlin, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 18 ottobre 2005

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