Data architecture defines the data strategy and data flows in organisations. It describes how data is managed from collection to transformation, distribution and consumption. It sets the blueprint for the way data flows through the systems. It also outlines data flows including data collection, transformation, processing and analytics, and decision-making using data science.
For your institution or project to make the most of its data, it’s vital to have a modern, best-practice data architecture in place. Use the tools and guides below to keep your data architecture up to date.