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Synopsis
In the last 50 years the world has been completely transformed through the use of IT. We have now reached a new inflection point. Here we present, for the first time, how in-memory computing is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Analytical data resides in warehouses, synchronized periodically with transactional systems. This separation makes flexible, real-time reporting on current data impossible. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. We describe techniques that allow analytical and transactional processing at the speed of thought and enable new ways of doing business. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes by leveraging in-memory computing.
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About the Author
Prof. Dr. h.c. Hasso Plattner is a co-founder of SAP AG, where he served as the CEO until 2003 and has since been chairman of the supervisory board. SAP AG is today the leading provider of enterprise software solutions. In his role as chief software advisor, he concentrates on defining the mid- and long- term technology strategy and direction of SAP. Hasso Plattner received his diploma in communications engineering from the University of Karlsruhe. In recent years, he has been focusing on teaching and research in the field of business computing and software engineering at large. In 1998, he founded the Hasso-Plattner-Institute (HPI) in Potsdam, Germany. At the HPI, approximately 480 students are currently pursuing their Bachelors' and Masters' degrees in IT Systems Engineering with the help of roughly 50 professors and lecturers. The HPI currently has about 100 PhD candidates. Hasso Plattner leads one of the research groups at HPI which focuses mainly on In-Memory Data Management for Enterprise Applications and Human-Centered Software Design and Engineering. Dr. Alexander Zeier graduated from the University of Würzburg in business management and successfully completed his studies in information technology at the Technical University of Chemnitz. He worked for a few years as a strategic IT consultant, before gaining his doctorate in Supply Chain Systems at the University of Erlangen-Nuremberg. He has 19 years experience with SAP/IT Systems and started working for SAP in 2002 as product manager with overall responsibility for the SCM Software, SAP`s first large In-Memory Application. Since 2006 he has been Deputy Professor of Prof. Hasso Plattner at the Hasso Plattner Institute in Berlin/Potsdam focusing on real-time In-Memory Enterprise Systems and RFID Technology. He is the author of more than 100 publications, including five books on IT and SAP. He is the Executive Director of the European Section of the MIT Forum for Supply Chain Innovation and Visiting Professor at MIT.
Review
Aus den Rezensionen: “... Erstmalig und umfassend zeigt ‚In Memory Data Management ... wie eine neue Datenbank Technologie Top Managern und Anwendern ... geschäftskritische Entscheidungserfindungen erleichtert ... richtet sich an Studenten, IT Experten und Manager, ist aber auch für Führungskräfte gedacht ...“ (in: E-3 Efficient Extended Enterprise, March/2011, S. 24)
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- PublisherSpringer
- Publication date2011
- ISBN 10 3642193625
- ISBN 13 9783642193620
- BindingHardcover
- LanguageEnglish
- Number of pages254
- Rating
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Berlin ; Heidelberg : Springer, 2011
ISBN 10: 3642193625
ISBN 13: 9783642193620
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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. Seller Inventory # 1035948
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