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 1-4
  3. The Future of Enterprise Computing

    1. Front Matter
      Pages 5-5
    2. Hasso Plattner
      Pages 7-16
    3. Hasso Plattner
      Pages 17-21
    4. Hasso Plattner
      Pages 23-32
    5. Hasso Plattner
      Pages 33-36
  4. Foundations of Database Storage Techniques

    1. Front Matter
      Pages 37-37
    2. Hasso Plattner
      Pages 39-44
    3. Hasso Plattner
      Pages 45-56
    4. Hasso Plattner
      Pages 57-63
    5. Hasso Plattner
      Pages 65-69
  5. In-Memory Database Operators

    1. Front Matter
      Pages 71-71
    2. Hasso Plattner
      Pages 73-75
    3. Hasso Plattner
      Pages 77-83
    4. Hasso Plattner
      Pages 85-89
    5. Hasso Plattner
      Pages 91-95
    6. Hasso Plattner
      Pages 97-101
    7. Hasso Plattner
      Pages 103-107
    8. Hasso Plattner
      Pages 109-116

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 an online course that was first launched in autumn 2012 with more than 13,000 enrolled students and marked the successful starting point of the openHPI e-learning platform. The course is mainly designed for students of computer science, software engineering, and IT related subjects, but addresses business experts, 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. Step by step, readers will understand the radical differences and advantages of the new technology over traditional row-oriented, disk-based databases.

In this completely revised 2nd edition, we incorporate the feedback of thousands of course participants on openHPI and take into account latest advancements in hard- and software. Improved figures, explanations, and examples further ease the understanding of the concepts presented. We introduce advanced data management techniques such as transparent aggregate caches and provide new showcases that demonstrate the potential of in-memory databases for two diverse industries: retail and life sciences.


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/10.1007/978-3-642-55270-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Business and Economics
  • Print ISBN 978-3-642-55269-4
  • Online ISBN 978-3-642-55270-0
  • About this book