A Course in In-Memory Data Management

The Inner Mechanics of In-Memory Databases

  • Hasso¬†Plattner

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Hasso Plattner
    Pages 1-3
  3. The Future of Enterprise Computing

    1. Front Matter
      Pages 5-5
    2. Hasso Plattner
      Pages 7-14
    3. Hasso Plattner
      Pages 15-18
    4. Hasso Plattner
      Pages 19-28
    5. Hasso Plattner
      Pages 29-33
  4. Foundations of Database Storage Techniques

    1. Front Matter
      Pages 35-35
    2. Hasso Plattner
      Pages 37-42
    3. Hasso Plattner
      Pages 43-54
    4. Hasso Plattner
      Pages 55-62
    5. Hasso Plattner
      Pages 63-67
  5. In-Memory Database Operators

    1. Front Matter
      Pages 69-69
    2. Hasso Plattner
      Pages 71-73
    3. Hasso Plattner
      Pages 75-81
    4. Hasso Plattner
      Pages 83-87
    5. Hasso Plattner
      Pages 89-93
    6. Hasso Plattner
      Pages 95-98
    7. Hasso Plattner
      Pages 99-103
    8. Hasso Plattner
      Pages 105-112

About this book


Recent achievements in hardware and software development, such as multi-core CPUs and DRAM capacities of multiple terabytes per server, enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of enterprise data. Professor Hasso Plattner and his research group at the Hasso Plattner Institute in Potsdam, Germany, have been investigating and teaching the corresponding concepts and their adoption in the software industry for years.

This book is based on the first online course on the openHPI e-learning platform, which was launched in autumn 2012 with more than 13,000 learners. The book is designed for students of computer science, software engineering, and IT related subjects. However, it addresses business experts, decision makers, software developers, technology experts, and IT analysts alike. Plattner and his group focus on exploring the inner mechanics of a column-oriented dictionary-encoded in-memory database. Covered topics include - amongst others - physical data storage and access, basic database operators, compression mechanisms, and parallel join algorithms. Beyond that, implications for future enterprise applications and their development are discussed. Readers are lead to understand the radical differences and advantages of the new technology over traditional row-oriented disk-based databases.


HANA HPI OLAP OLTP column-oriented database dictionary-encoded database

Authors and affiliations

  • Hasso¬†Plattner
    • 1
  1. 1.Enterprise Platform and Integration, ConceptsHasso Plattner InstitutePotsdamGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-36524-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Business and Economics
  • Print ISBN 978-3-642-36523-2
  • Online ISBN 978-3-642-36524-9
  • About this book
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