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Materialize: Streaming SQL on Timely Data with Arjun Narayan and Frank McSherry

Distributed stream processing frameworks are used to rapidly ingest and aggregate large volumes of incoming data. These frameworks often require the application developer to write

Converged Data Platform: Unifying Streaming Data using MapR

Stream processing and distributed database management are concerns that most enterprises dealing with data analytics and real-time data processing have. Most enterprises today use data

Kafka Design Patterns with Gwen Shapira

Kafka is at the center of modern streaming systems. Kafka serves as a database, a pubsub system, a buffer, and a data recovery tool. It’s an extremely flexible tool, and that