Practical Guidelines for Implementing a Data Mesh
Most companies today are storing data and running applications in a hybrid multi-cloud environment. Analytical systems tend to be centralised and siloed like data warehouses and data marts for BI, Hadoop or cloud storage data lakes for data science and