A Course in In-Memory Data Management
Hasso Plattner ()
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Hasso Plattner: Hasso Plattner Institute
in Springer Books from Springer
Date: 2014
Edition: 2nd ed. 2014
ISBN: 978-3-642-55270-0
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Chapters in this book:
- Ch Chapter 1 Introduction
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- Ch Chapter 10 Delete
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- Ch Chapter 11 Insert
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- Ch Chapter 12 Update
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- Ch Chapter 13 Tuple Reconstruction
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- Ch Chapter 14 Scan Performance
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- Ch Chapter 15 Select
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- Ch Chapter 16 Materialization Strategies
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- Ch Chapter 17 Parallel Data Processing
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- Ch Chapter 18 Indices
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- Ch Chapter 19 Join
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- Ch Chapter 2 New Requirements for Enterprise Computing
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- Ch Chapter 20 Aggregate Functions
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- Ch Chapter 21 Parallel Select
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- Ch Chapter 22 Workload Management and Scheduling
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- Ch Chapter 23 Parallel Join
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- Ch Chapter 24 Parallel Aggregation
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- Ch Chapter 25 Differential Buffer
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- Ch Chapter 26 Insert-Only
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- Ch Chapter 27 The Merge Process
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- Ch Chapter 28 Aggregate Cache
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- Ch Chapter 29 Logging
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- Ch Chapter 3 Enterprise Application Characteristics
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- Ch Chapter 30 Recovery
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- Ch Chapter 31 Database Views
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- Ch Chapter 32 On-the-Fly Database Reorganization
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- Ch Chapter 33 Implications on Application Development
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- Ch Chapter 34 Handling Business Objects
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- Ch Chapter 35 Examples for New Enterprise Applications
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- Ch Chapter 36 Bypass Solution
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- Ch Chapter 4 Changes in Hardware
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- Ch Chapter 5 A Blueprint of SanssouciDB
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- Ch Chapter 6 Dictionary Encoding
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- Ch Chapter 7 Compression
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- Ch Chapter 8 Data Layout in Main Memory
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- Ch Chapter 9 Partitioning
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-3-642-55270-0
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DOI: 10.1007/978-3-642-55270-0
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