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Tools for assigning roles like dimension, metric, or time to database columns.
Distinct from Column Classifiers: Distinct from Column Classifiers: focuses on analytical roles (dimension/metric) rather than sensitive data identification.
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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
Assigns columns as dimensions, metrics, or time fields to optimize storage and enable specific aggregation operations.