Using data to guide the development process is a crucial part of the process and it can help optimize the way you work. It’s always important to have more information during the development process, as that will help you avoid mistakes and prevent issues down the line. Using data-driven development is also a great way to ensure the software is aligned with the needs of your business, while also streamlining everything adequately.
The Benefits of Data-driven Development
Right from the start, having more data accessible will help boost your productivity. It allows you to better understand the domain and info while preventing any downsides. On top of that, you also get to boost maintainability, as you have a modular design to help identify any issues and solve problems quickly without having to worry about downsides here.
Scalability is also helpful in the case of data-driven development. It allows you to ensure that your app can support large amounts of information and data processing. Plus, data-driven development allows flexibility, since you can easily start handling even the most complex business processes in a way that’s dependable, reliable, and yet comprehensive at the same time. Communication improves too, since you get the necessary data and thus you have all the pieces needed to complete your work.
The Architecture of Data-driven Development
You always have multiple layers, and it always comes down to the user interface. This layer needs to be simple and thin, as it delivers the most functionality. Then it’s the application layer, which also needs to be thin, and stateless as well. The domain and infrastructure layers matter too, with the domain layer having the domain model. And then we also have the infrastructure layer which focuses a lot on offering technical resources and services in support to the other layers. Here you will have message brokers, cloud platforms, web servers, databases, and many others.
Best Practices in Data-driven Development
You always want to start with identifying the core business domain, identify the primary objects, and define the domain model, along with its behavior. Then you can start creating a ubiquitous language and use that to communicate all the necessary data.
During this process, you must use some object-relational mapping tools. These tools map the domain model to the relational database and the ORM tools can make it easy to abstract the underlying data storage tech. Moreover, you have to do some command query responsibility segregation, not to mention you can rely on queries to acquire data from the domain model. The data-driven development can also focus on bounded context and microservices, all of which can help streamline the way you process and adapt your data.
Using data-driven development practices can be a great idea if you want to streamline and speed up development. It allows you to harness available data and make the most out of it in a way that’s comprehensive and highly professional. Not only that, but you will be able to formulate the right understanding of your data and solve all challenges properly.