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Raúl Gracia and Flavio Junqueira Introduction Streaming applications commonly ingest data from a wide range of elements – e.g., sensors, users, servers – concurrently to form a single stream of events. Using a single stream to capture the parallel data flows generated by multiple such elements enables applications to better reason about data and even […]

Raul Gracia and Flavio Junqueira Introduction Streaming systems continuously ingest and process data from a variety of data sources. They build on append-only data structures to enable efficient write and read access, targeting low-latency end-to-end. As more of the data sources in applications are machines, the expected volume of continuously generated data has been growing […]

Pravega is a storage system for data streams that has an innovative design and an attractive set of features to cope with today’s Stream processing requirements (e.g., event ordering, scalability, performance, etc.). The project has plenty of documentation and great blog posts that explain in detail every technical aspect of Pravega. But, if you are […]