Adaptive Data Model – #Agile or Anathema?

I have seen the concept of an Adaptive Data Model proposed as an Agile method to Data Modelling lately. (Most recently in Ken Collier’s excellent book – “Agile Analytics”) The theory is that you can be more Agile using an  Adaptive Data Model instead of a traditional Data Model of the business domain.

Definition

An Adaptive Data Model is a Data Model that doesn’t model the business data. Rather it is a data model of the data model that models the business data. 🙂   The Adaptive Data Model describes tables that contains the meta-data that describes the data model. In this way, the entire Data Model is data driven and stored in a series of tables. The advantages of this approach is that changes to the model can be made by updating the meta-data in the tables. (as opposed to having to generate Alter statements to update the database structures in the database)

A sample Adaptive Data Model is shown below. (Copyright Ken Collier – Agile Analytics)

ADM

 

A subsequent layer would then need to be created to allow for the data to be extracted in a traditional sense by the application. (and to be made sense of by the business) Some suggestions for this layer have recommended that this layer could be created with a series of views or stored procedures.

Agile?

Although the Adaptive Data Model does allow for the easy modification of the Data Model, is it Agile?

I propose that an Adaptive Data Model is neither Agile or a Data Model.

According to Wikipedia a Data Model is:

“A data model is an abstract model that documents and organizes the business data for communication between team members and is used as a plan for developing applications, specifically how data are stored and accessed.”

An Adaptive Data Model does not meet this definition of a Data Model. It is a construct created to allow changes to be made to a data model.

In addition, I would propose that an Adaptive Data Model is also not Agile. It does not encourage frequent delivery and iterative development. An Adaptive Data Model is a complex solution that is not easily deployed in iterations to deliver value quickly and often to the business. If anything, it increases the technical debt of the project.

Summary

We as data professionals should be striving to make our processes more Agile and to be able to allow our processes to be refined iteratively like other areas of Software Development. Software Development proposed practices that allowed for iterative development. These didn’t include creating an Object Model of the Object model so that they didn’t have to fully embrace adaptive development practices.

An Adaptive Data Model feels like a short cut. It is hard to be Agile and iterative on data project, but trying to propose an Adaptive Data Model as a solution seems like a wrong turn. We need to find ways to allow our data designs to be change tolerant, adaptive, and test driven.

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