What every Software Engineer should know about Data Management

SET 2008

Autoren: Hans Wegener

Software engineering has jumped past data management by leaps and bounds in recent years: agile and model-driven development as well as IDEs increase productivity, and we are happy for it.

Software engineering has jumped past data management by leaps and bounds in recent years: agile and model-driven development as well as IDEs increase productivity, and we are happy for it. More and more, therefore, developing for databases may be perceived as slow. This talk dives into the question why this is and where the inertia of the data world come to play:

  • historization and temporality
  • economic and legal aspects of data
  • long evolutionary transition phases
  • focus on integration and performance

It addresses questions such as: Why can it be (economically) expensive to introduce abstractions in software prematurely? How do data people manage configuration and history? How can developers avoid entrapping data managers with their design decisions?

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