DataVersity released their snapshot survey on Data Modelling and the results aren’t good for Data Modellers who want more adoption of Agile by the Data Modelling community.
Before we get into the details, DataVersity is a great source of references and webinars for all things data. You can find them by clicking on this link: DataVersity
1) How important is it to know how to work with Agile Teams? (this was graded on a scale of 1-10. I’ve tried to group them into categories)
- 27% thought it was important (1-3 on a scale of 10)
- 27% were neutral (4-6 on a scale of 10)
- 46% thought it was not important (7-10 on a scale of 10)
2) How much experience do you have with Agile or Scrum projects?
- 12% – 10+ projects
- 9% – 5-10 projects
- 20% – 3-4 projects
- 16% – 2 projects
- 8% – 1 project
- 33% – no experience
3) If you have been the data architect or data modeller on an Agile project, how satisfied were you with the results?
- 22% – very satisfied
- 46% – fairly satisfied
- 32% – not satisfied
What I took from these responses are that the majority of people feel that Agile isn’t that important to them. But I hope there is some light at the end of the tunnel as a good percentage of Data Modellers have not been on an Agile project or have only been on 1 Agile project. (41%) In addition, of the ones that were on Agile projects, 68% reported that they were either very satisfied or fairly satisfied. Those are encouraging numbers. Although some Data Modellers don’t think Agile is important to them, there seems to be a correlation that once they are exposed to the methods, they view them as positive.
Those of you that have read my blogs have seen my positive comments on Dimensional Modelling. Another concern I had with the results of the survey are the percentage of Data Modellers that feel understanding Dimensional Modelling concepts are not important to them.
- 28% thought it was important (1-3 on a scale of 10)
- 34% were neutral (4-6 on a scale of 10)
- 40% thought it was not important (7-10 on a scale of 10)
Given that all Data Modellers have had to model the data to support reporting, this is a somewhat concerning statistic. Dimensional Modelling is not something new as well, not like XML and No SQL data stores. Shockingly 62% felt that knowledge of XML and No SQL Data Stores are not important to them.
I think we have a ways to go to encourage the adoption of new processes, methods, and technologies in the Data Modelling and Database professions. Even within our own profession, items like Dimensional Modelling still lack full acceptance.
I would encourage every Data Modeller out there to learn about Agile and Agile methods. As we move into the second decade of Agile, its adoption is increasing and it will affect every type of project in the future. Understanding the methods will help the Data Modeller determine how best to integrate with Agile methods and practices.
I feel that Data Modellers must remember that we are providing a service to projects and the business. If the projects and the business are becoming more Agile, we also must become Agile. If not, the projects and businesses will be drawn towards other solutions and services that do align with their methods. This could possibly drive more projects toward No SQL and XML that are not good candidates for those projects.