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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 Role of Data Models in Data Analytics
Data Modelling

The Role of Data Models in Data Analytics

A data model is a system that defines how data is stored, processed, and used. Data models are essential tools…

Riku Nieminen20/01/202613/02/2026
The Effect of Normalisation on Database Scalability
Normalisation techniques

The Effect of Normalisation on Database Scalability

Normalisation is a key process in database design that enhances scalability by reducing redundancy and improving data integrity. While it…

Riku Nieminen20/01/202613/02/2026
The Role of Normalisation in Cybersecurity
Normalisation techniques

The Role of Normalisation in Cybersecurity

Normalisation is a key process in managing information security, as it helps organisations protect data effectively. By reducing redundancy and…

Riku Nieminen20/01/202613/02/2026
Data Modelling

Data Model Tools: UML, ER Models, Database Design Software

Data modelling tools are essential software and methods used in the creation and management of data models. These tools include…

Riku Nieminen19/01/202613/02/2026
Scheme design

Skeeman Design in Different Programming Languages

Schema design is a key aspect of database management, focusing on the efficient organisation of data structure and content. Different…

Riku Nieminen19/01/202613/02/2026
Scheme design

Skeeman Design Mistakes and How to Avoid Them

In schematic design, it is important to identify and avoid common mistakes, such as inadequate definition and excessive complexity. These…

Riku Nieminen16/01/202613/02/2026
Data Model Tools: UML, ER Models, Database Design Software
Data Modelling

Data Model Tools: UML, ER Models, Database Design Software

Data modelling tools are essential software and methods used in the creation and management of data models. These tools include…

Riku Nieminen16/01/202613/02/2026
The Impact of Normalisation on Database Design
Normalisation techniques

The Impact of Normalisation on Database Design

Normalisation in database design is a key process that optimises data structures by reducing redundancy and improving data integrity. The…

Riku Nieminen16/01/202613/02/2026
Skeeman Design Mistakes and How to Avoid Them
Scheme design

Skeeman Design Mistakes and How to Avoid Them

In schematic design, it is important to identify and avoid common mistakes, such as inadequate definition and excessive complexity. These…

Riku Nieminen15/01/202613/02/2026
Challenges of Normalisation: Complexity, Performance Degradation, Usability Issues
Normalisation techniques

Challenges of Normalisation: Complexity, Performance Degradation, Usability Issues

Normalisation is an important process in database design, but it brings several challenges, such as increased complexity, decreased performance, and…

Riku Nieminen15/01/202613/02/2026

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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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