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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.
The Connection Between Normalisation and User Experience
Normalisation techniques

The Connection Between Normalisation and User Experience

Normalisation is a key process that transforms data into a comparable format, thereby enhancing the user experience (UX). It enables…

Riku Nieminen23/01/202613/02/2026
Optimising Data Models in Large Data Warehouses
Data Modelling

Optimising Data Models in Large Data Warehouses

Optimising data models in large data warehouses enhances efficiency, reduces costs, and increases the accuracy of analytics. Best practices such…

Riku Nieminen23/01/202613/02/2026
Normalisation Steps: Analysis, Design, Implementation
Normalisation techniques

Normalisation Steps: Analysis, Design, Implementation

Normalisation is a process that consists of three key stages: analysis, design, and implementation. These stages are essential for ensuring…

Riku Nieminen23/01/202613/02/2026
Skeeman Compatibility with Different Database Systems
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 Nieminen23/01/202613/02/2026
Normalisation and Denormalisation: Balancing
Normalisation techniques

Normalisation and Denormalisation: Balancing

Normalisation and denormalisation are key methods in database design that affect both data integrity and system performance. Normalisation reduces redundancy…

Riku Nieminen22/01/202613/02/2026
Benefits of Normalisation: Data Integrity, Reducing Redundancy, Improving Performance
Normalisation techniques

Benefits of Normalisation: Data Integrity, Reducing Redundancy, Improving Performance

Normalisation is a key process in database management that enhances data integrity, reduces redundancy, and improves performance. This ensures that…

Riku Nieminen22/01/202613/02/2026
The Impact of Data Models on Streamlining Business Processes
Data Modelling

The Impact of Data Models on Streamlining Business Processes

Data models are essential tools for streamlining business processes as they provide a structure for managing and utilising information. Well-designed…

Riku Nieminen22/01/202613/02/2026
Normalisation techniques

The Connection Between Normalisation and User Experience

Normalisation is a key process that transforms data into a comparable format, thereby enhancing the user experience (UX). It enables…

Riku Nieminen21/01/202613/02/2026
Scheme design

Skeeman Customisation for Cloud Service Environments

Schema customisation is crucial in cloud service environments as it enhances data management and performance. A well-designed schema enables efficient…

Riku Nieminen21/01/202613/02/2026
Scheme design

Skeeman Evaluation: Performance Analysis, Scalability, Maintainability

The evaluation of Skeema covers three key areas: performance analysis, scalability, and maintainability. Performance analysis measures the system’s efficiency and…

Riku Nieminen20/01/202613/02/2026

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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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