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Author: Riku Nieminen

Riku is a database expert who has worked for over ten years with various database solutions. He is passionate about the principles of database design and shares his knowledge on his blog, where he helps other developers understand the effective use of databases.
Data Modelling

Data Model Compatibility with Different Systems

Data model compatibility refers to the ability of different systems to share and use information effectively, which is essential for…

Riku Nieminen28/01/202613/02/2026
Scheme design

Skeeman Compatibility with Different Database Systems

Schema and database system compatibility is a key factor that affects the efficiency and usability of databases across different systems.…

Riku Nieminen28/01/202613/02/2026
The Importance of Documenting Data Models
Data Modelling

The Importance of Documenting Data Models

Documentation of the data model is an essential part of information system development, as it enhances project smoothness and quality.…

Riku Nieminen27/01/202613/02/2026
Data Model Types: Conceptual Model, Logical Model, Physical Model
Data Modelling

Data Model Types: Conceptual Model, Logical Model, Physical Model

Data models are divided into three main types: conceptual model, logical model, and physical model. These models help organise and…

Riku Nieminen26/01/202613/02/2026
Scheme design

Skeeman Change Management: Versioning and Maintenance

Schema change management is an essential part of database versioning that ensures the smoothness and integrity of software development. Effective…

Riku Nieminen26/01/202613/02/2026
Data Model Evaluation: Quality Assurance, Testing, Validation
Data Modelling

Data Model Evaluation: Quality Assurance, Testing, Validation

Data model evaluation is an essential process aimed at ensuring the quality, functionality, and reliability of the model. Quality assurance,…

Riku Nieminen26/01/202613/02/2026
Data Modelling

Development of the Data Model in Collaboration with Various Stakeholders

The development of a data model in collaboration with various stakeholders is a process that ensures the model meets the…

Riku Nieminen26/01/202613/02/2026
Development of Data Models in Various Industries
Data Modelling

Development of Data Models in Various Industries

The development of data models across different industries is a key aspect of data management, and its fundamental principles, such…

Riku Nieminen26/01/202613/02/2026
Skeeman Optimisation: Indexing, Data Type Selection, Relationship Management
Scheme design

Skeeman Optimisation: Indexing, Data Type Selection, Relationship Management

Schema optimisation is an essential part of improving database efficiency, with objectives that include search engine optimisation, ensuring data integrity,…

Riku Nieminen23/01/202613/02/2026
Skeeman Development: Design Process, Tools and Methods, Best Practices
Scheme design

Skeeman Development: Design Process, Tools and Methods, Best Practices

Schema development is a multi-stage process that ensures the achievement of functional and efficient outcomes. Design, implementation, and evaluation are…

Riku Nieminen23/01/202613/02/2026

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  • Normalisation techniques
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Recent Posts

  • Skeeman Development: Design Process, Tools and Methods, Best Practices
  • Challenges of Normalisation: Complexity, Performance Degradation, Usability Issues
  • Data Model Development: Requirements Gathering, Analysis, Documentation
  • Benefits of Normalisation: Data Integrity, Reducing Redundancy, Improving Performance
  • Development of Data Models in an Agile Environment

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