Data Architecture Principles To Accelerate Your Data Strategy

What are the data architecture principles you should be applying to your project design to ensure a successful outcome?

In this session we walk through some of the basic elements of data architecture and some of the common patterns we’ve seen in projects.

And we show you how you can implement these principles to make your projects easier to maintain and improve as your data needs evolve.

Some of the key principles we cover include:

Data validation at the point of data entry – how to ensure your projects aren’t derailed by bad data
Consistency – how and why you should be documenting your architecture and development practices
Avoiding duplication – how you should be thinking about reusing code to improve project maintainability

And you'll also see how CloverDX can help you follow these principles to build reliable, scalable data projects.

Learn more:
** CloverDX Data Management Platform overview: https://www.cloverdx.com/product/
** Try CloverDX: https://www.cloverdx.com/trial/
** Request a demo: https://www.cloverdx.com/demo/
** CloverDX on LinkedIn:   / cloverdx