This document discusses efficient processing of RDF data streams. It proposes using the Storm distributed stream processing system and Lambda Architecture to address challenges of scalability, latency, and integrating historical and real-time data. Key components include Storm-based operators to parallelize SPARQL queries over streams, adaptive query processing to adjust to changing conditions, and an ERI compression format to reduce transmission costs for structured RDF streams. Open questions remain around parallelization and handling of out-of-order tuples.