Add a LG for improving database

[hoch4]

The curriculum has a focus on IT systems. Since databases are a substantial part of most systems, it is important to consider database topics in the curriculum.

Some of the subsequent topics could be part of the learning goal.

Split-up Database

• Shared Database
• Database View
• Database Wrapping Service
• Database-as-a-Service Interface
• Aggregate Exposing Monolith
• Change Data Ownership
• Split Table
• Move Foreign-key Relationship to Code

Data quality criteria

• Credibility
• Usefulness
• Interpretability
• Key integrity

Clean data:

• Remove irrelevant data
• Save data with the right data type
• Drop or merge duplicates
• Scale, transform, normalize
• Deal with missing values: drop, impute, hot-deck, flag
• Handle wrong data: outliers, in-record & cross-dataset errors

References:

• See: Newman, S. (2020). Monolith to microservices: Evolutionary patterns to transform your monolith. O’Reilly Media, Inc.
• Taxonomie von Datenqualitätskriterien (vgl. [Hinrichs 2002, S. 30])

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