Data modeling is the process of defining datapoints and structures at a detailed or abstract level to communicate information about the data shape, content, and relationships to target audiences.
The end goal of database design is to be able to transform a logical data model into an actual physical database. A logical data model is required before you can even begin to design a physical ...
When it comes to providing reliable, flexible, and efficient object persistence for software systems, today's designers and architects are faced with many choices. From the technological perspective, ...
Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this podcast, Michael Stiefel spoke with ...
In the development business, there’s no excuse for a bad design. Unfortunately, you probably know developers who skip through or completely ignore the design process because they don’t understand the ...
NoSQL entered the scene nearly six years ago as an alternative to traditional relational databases. The offerings from the major relational vendors couldn’t cut it in terms of the cost, scalability, ...
At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...
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