In Memory Data Management Inflection by Plattner Hasso (9 results)

Condition: Very Good. 1st Edition. Used book that is in excellent condition. May show signs of wear or have minor defects.

Condition: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Hardcover. Condition: Used; Very Good. Dispatched, from the UK, within 48 hours of ordering. Though second-hand, the book is still in very good shape. Minimal signs of usage may include very minor creasing on the cover or on the spine.

gebundene Ausgabe. Condition: 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.

Hardcover. 2011. 236 Seiten Ehem. Bibliotheksexemplar m. Stempel u. Signatur. Moderate Gebrauchsspuren, Text bis auf vereinzelt mögliche kleine Marginalien / Ansstreichungen sauber. Insgesamt ein gutes Arbeitsbuch. Sprache: englisch. Ex library book with stamps and signature. Slight signs of use. Good condition. Language: english. 9783642193620 Sprache: Englisch Gewicht in Gramm: 522.

Condition: 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 - 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 9783642193620 Sprache: Englisch Gewicht in Gramm: 518 Fadengehefteter Originalpappband mit Schutzumschlag.

Condition: Gut. Zustand: Gut - Gebrauchs- und Lagerspuren. Innen: Notizen / Markierungen. | Seiten: 236 | Sprache: Englisch | Produktart: Bücher.

Hardcover. Condition: New.

Hardcover. Condition: Like New. Like New. book.