Modern Distributed Data Architecture with Event Streams, Stream Processing and Derived Data

Some of the most interesting projects I worked on at LinkedIn involved building large scale real-time pricing and machine learning products. They required crafting fault-tolerant distributed data architectures to support model training, forecasting and dynamic control systems. None of this work involved a traditional relational database. Instead event streams, derived data and stream processing became … Continue reading Modern Distributed Data Architecture with Event Streams, Stream Processing and Derived Data