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Posts by Riku Nieminen

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About 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.
Skeeman Development: Design Process, Tools and Methods, Best Practices
Posted inScheme 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 key phases that utilise various tools, such as UML diagrams…
Posted by Riku Nieminen 02/02/2026
Posted inData Modelling

The Connection Between Data Models and Software Development

Data modelling and software development are closely linked, as data models provide the structure and system that enable efficient software development. Choosing the right data modelling technique is crucial, as…
Posted by Riku Nieminen 30/01/2026
Posted inNormalisation techniques

Database Normalisation: First Normal Form, Second Normal Form, Third Normal Form

Database normalization is a process that organizes the structure of a database to reduce redundancy and improve data integrity. The first normal form (1NF) ensures that all records are atomic,…
Posted by Riku Nieminen 30/01/2026
Normalisation and Data Sharing Across Different Systems
Posted inNormalisation techniques

Normalisation and Data Sharing Across Different Systems

Normalisation is a key process in organising the structure of a database, which helps reduce redundancy and improve data integrity. Sharing data across different systems enables efficient collaboration and the…
Posted by Riku Nieminen 30/01/2026
Skeeman Development with Agile Methods
Posted inScheme design

Skeeman Development with Agile Methods

The development of schemas using Agile methodologies offers flexible and iterative approaches that focus on customer-centricity and continuous improvement. The aim is to deliver functional results in close collaboration with…
Posted by Riku Nieminen 30/01/2026
Integration of Data Models: Combining Different Sources
Posted inData Modelling

Integration of Data Models: Combining Different Sources

Data model integration is a key process that enhances the compatibility of various data sources and streamlines data processing. Integration enables real-time data availability, which is vital in today's business…
Posted by Riku Nieminen 30/01/2026
Posted inData Modelling

Development of Data Models in an Agile Environment

The development of data models in an agile environment is based on flexibility, collaboration, and continuous improvement. Choosing the right tools is crucial for the success of the project, as…
Posted by Riku Nieminen 30/01/2026
Posted inNormalisation techniques

Practical Examples of Normalisation in Different Industries

Normalization is a key process across various industries that helps standardise and organise data efficiently. In healthcare, it improves the management of patient information and reduces errors, while in finance,…
Posted by Riku Nieminen 29/01/2026
Posted inData Modelling

Integration of Data Models: Combining Different Sources

Data model integration is a key process that enhances the compatibility of various data sources and streamlines data processing. Integration enables real-time data availability, which is vital in today’s business…
Posted by Riku Nieminen 29/01/2026
Posted inData 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 manage information at different levels, which is essential in the…
Posted by Riku Nieminen 29/01/2026

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