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A Course in In-Memory Data Management

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Cover of 'A Course in In-Memory Data Management'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 New Requirements for Enterprise Computing
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    Chapter 3 Enterprise Application Characteristics
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    Chapter 4 Changes in Hardware
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    Chapter 5 A Blueprint of SanssouciDB
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    Chapter 6 Dictionary Encoding
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    Chapter 7 Compression
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    Chapter 8 Data Layout in Main Memory
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    Chapter 9 Partitioning
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    Chapter 10 Delete
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    Chapter 11 Insert
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    Chapter 12 Update
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    Chapter 13 Tuple Reconstruction
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    Chapter 14 Scan Performance
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    Chapter 15 Select
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    Chapter 16 Materialization Strategies
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    Chapter 17 Parallel Data Processing
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    Chapter 18 Indices
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    Chapter 19 Join
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    Chapter 20 Aggregate Functions
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    Chapter 21 Parallel Select
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    Chapter 22 Workload Management and Scheduling
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    Chapter 23 Parallel Join
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    Chapter 24 Parallel Aggregation
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    Chapter 25 Differential Buffer
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    Chapter 26 Insert-Only
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    Chapter 27 The Merge Process
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    Chapter 28 Aggregate Cache
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    Chapter 29 Logging
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    Chapter 30 Recovery
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    Chapter 31 Database Views
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    Chapter 32 On-the-Fly Database Reorganization
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    Chapter 33 Implications on Application Development
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    Chapter 34 Handling Business Objects
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    Chapter 35 Examples for New Enterprise Applications
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    Chapter 36 Bypass Solution
Overall attention for this book and its chapters
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Citations

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Title
A Course in In-Memory Data Management
Published by
Springer Berlin Heidelberg, January 2014
DOI 10.1007/978-3-642-55270-0
ISBNs
978-3-64-255269-4, 978-3-64-255270-0
Authors

Plattner, Hasso, Hasso Plattner

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 35%
Researcher 3 13%
Student > Doctoral Student 2 9%
Student > Ph. D. Student 2 9%
Professor 1 4%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Computer Science 12 52%
Business, Management and Accounting 2 9%
Arts and Humanities 1 4%
Unspecified 1 4%
Engineering 1 4%
Other 1 4%
Unknown 5 22%