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Awesome GitHub RepositoriesReference Data Refreshers
Automated mechanisms for updating lookup datasets without query downtime.
Distinct from Reference Data Lookups: Distinct from Reference Data Lookups: focuses on the refresh/replacement mechanism for reference data, not the lookup join operation.
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Awesome Reference Data Refreshers GitHub Repositories
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- apache/pinot
apache/pinot
6,098Auf GitHub ansehenPinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer
Replaces existing datasets with updated versions via scheduled batch jobs or on-demand API triggers to maintain current lookup values without query downtime.
Java
