Data Modelling 101
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In last month’s issue, I reviewed the meaning of data, and more importantly the key concept that all data is relational. To recap, data in an application has no meaning unless it is related to other data. With these relationships, the data can be used to meet the requirements of your application and the needs of your organization. This concept applies to all types of DBMS engines – traditional Relational DBMSes, NoSQL, NewSQL, you name it.

To ensure your database structure is useful, meaningful and meets your particular application needs, it is critical that you create a data model. I have always found this vital in building a small project as an individual developer, and know from hard-won experience managing many software teams that it is even more important on large projects.

A data model is critical, everyone on the team needs to know it and understand it, if you are going to have a successful application that delivers as expected – functionally and with regards to performance.

So why bring so much attention to a data model and the data modelling process? Because in working with developers over the years (and particularly in recent years on a variety of BigData projects), I have found this to be a very important step in the application development process – a step that often gets skipped or done without due importance.

In this article, I will cover the fundamental concepts of data modelling, and the process for developing a workable data model.

THIS IS A PREVIEW. DOWNLOAD APRIL 2013’S ISSUE TO READ THE FULL ARTICLE.

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