In-Memory Data Management

Kurs
  • Big Data and AI
  • Enterprise Computing

In-Memory Data Management

The „In-Memory Data Management" MOOC in 2017 is the fifth iteration of Prof. Hasso Plattner's successful introduction into the inner mechanics of this recent technology. It is a repetition of the 2015 course and builds on the same, revised material. The course focuses on the management of enterprise data in column-oriented in-memory databases. Latest hardware and software trends led to the development of a new revolutionary database technology that enables flexible and lightning-fast analysis of massive amounts of enterprise data.

Angeboten von Prof. Hasso Plattner | Zuletzt aktualisiert am 17. September 2026 | 10112 Einschreibungen

  • Expert
  • EN
  • Zertifikat
Kursinformation

The „In-Memory Data Management" MOOC in 2017 is the fifth iteration of Prof. Hasso Plattner's successful introduction into the inner mechanics of this recent technology. It is a repetition of the 2015 course and builds on the same, revised material. The course focuses on the management of enterprise data in column-oriented in-memory databases. Latest hardware and software trends led to the development of a new revolutionary database technology that enables flexible and lightning-fast analysis of massive amounts of enterprise data. The basic concepts and design principles of this technology are explained in detail. Beyond that, the implications of the underlying design principles for future enterprise applications and their development are discussed. The MOOC will explain in detail the differences and advantages of an in-memory column-oriented database in contrast to traditional row-oriented disk-based storages.

        • Requirements for Modern Enterprise Computing, Enterprise Application Characteristics
        • Hardware Trends, Columnar Storage vs. Row Storage
        • Dictionary Encoding, Compression
        • Scans, Selects, Deletes, Inserts, Updates
        • Indices, Joins
        • Applications

Participants of this course will receive access to the extensive reading material accompanying the lectures.

Attention: This course is currently in self-study mode, in which you do not have access to graded assignments/exams. Therefore, we can only issue you a certificate of participation.

Anforderungen für Nachweise
  • Teilnahmebescheinigung: Du erhältst automatisch eine kostenlose Teilnahmebescheinigung, sobald du mindestens 50% der Kursinhalte durchgearbeitet hast.
  • Zertifikat: Du erhältst ein Zertifikat, wenn du in der Summe aller benoteten Aufgaben mindestens 50% der Höchstpunktzahl erreicht hast.

Mehr Informationen findest du auf der Seite für Nachweise und Richtlinien.

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