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Awesome GitHub RepositoriesEvent-Time Processing
Logic for processing data based on timestamps embedded in records rather than arrival time.
Distinct from Out-of-Core Processing: Focuses on temporal correctness of events, whereas Out-of-Core Processing focuses on memory management.
Explore 1 awesome GitHub repository matching data & databases · Event-Time Processing. Refine with filters or upvote what's useful.
Awesome Event-Time Processing GitHub Repositories
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- apache/flink
apache/flink
26,086GitHub पर देखेंApache Flink is a distributed processing engine designed for both high-throughput, low-latency data streams and finite batch workloads. It functions as a stateful stream processor and a SQL stream processing engine, providing a unified runtime to execute relational queries and event-based transformations. The system is distinguished by its ability to manage persistent operator state to ensure exactly-once processing guarantees and consistency during failures. It features specialized capabilities for complex event processing to detect temporal patterns and handles out-of-order events using eve
Processes data based on event time rather than arrival time to ensure accuracy with out-of-order streams.
Java
