In-Memory Data Management (2014)

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3rd Edition of this MOOC

The online 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 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. Unbelievable things are possible and you will understand why this is true using an in-memory column-oriented database instead of a traditional row-oriented disk-based ones.

 

Course information

β€žIn-Memory Data Management" 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 course will explain in detail the differences and advantages of an in-memory column-oriented database in contrast to traditional row-oriented disk-based storages. The following topics are covered (among others):
 
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

 

 

Features

  • Forum
  • Lecture notes
  • Readings
  • Video lectures
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Visits
2103 Visits
Dates
 01 September 2014 - 20 October 2014
Publication Date
 24 April 2014
Platform:
Level:
Higher Education
Pre-requisites:
No
Languages
License:
Not acknowledged
Certification:
Certificate of Completion
Author
Prof. Hasso Plattner
Tags
Workload
2-4 hours weekly