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Tools for automatically unnesting nested collections and maps into primitive columns during ingestion.
Distinct from Complex Data Structure Stores: Distinct from Complex Data Structure Stores: focuses on the transformation process of flattening nested structures rather than the storage engine itself.
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Pinot 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
Automatically unnests nested collections and maps into primitive columns during ingestion to enable standard SQL operations like grouping and ordering.