Hasso-Plattner-InstitutSDG am HPI
Hasso-Plattner-InstitutDSG am HPI

Data Management on Modern Storage Technologies (Wintersemester 2020/2021)

Dozent: Prof. Dr. Tilmann Rabl (Data Engineering Systems) , Lawrence Benson (Data Engineering Systems)
Website zum Kurs: https://hpi.de/rabl/teaching/winter-term-2020-21/data-management-on-modern-storage-technologies.html

Allgemeine Information

  • Semesterwochenstunden: 4
  • ECTS: 6
  • Benotet: Ja
  • Einschreibefrist: via email to us by Nov 6th 23:59
  • Lehrform: Seminar
  • Belegungsart: Wahlpflichtmodul
  • Lehrsprache: Englisch

Studiengänge & Module

Cybersecurity MA
IT-Systems Engineering MA
  • OSIS-Konzepte und Methoden
  • OSIS-Techniken und Werkzeuge
  • OSIS-Spezialisierung
  • ITSE-Konstruktion
  • ITSE-Maintenance
Data Engineering MA


The ever-increasing volume of data that is produced today poses numerous challenges on how to efficiently manage it. One of these challenges is how to efficiently store and retrieve such data volumes. For many years, the memory hierarchy was clearly split into fast and expensive DRAM vs. slower but cheaper SSDs (or HDDs). The main goal was to squeeze as much hot data as possible into limited DRAM and only access disks for cold data. This came at the price of either giving up persistence for in-memory data or creating sophisticated mechanisms to store it persistently on slower disks. However, newly available non-volatile memory (NVM) is a class of storage technologies that provides fast byte-addressable storage (like DRAM) in much higher capacities than DRAM with persistence (like SSDs). Thus, NVM is a promising alternative to existing storage solutions. In this course we want to look at the latest developments in NVM-research and develop our own ideas on how to efficiently integrate NVM into the storage landscape.