Building systems to collect, store, and analyze data at scale.
A unified analytics engine for large-scale data processing.
An open-source distributed event streaming platform.
Core principles of distributed computing: consistency, fault tolerance, consensus, scalability, and high-availability design patterns.
A unified stream and batch processing framework for stateful computations over unbounded and bounded data streams.