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Data outbound Data is often consumed using structured queries for analytical needs. Also, datasets are accessed for ML, data exporting, and publishing needs. Consumption This pillar consists of various consumption channels for enterprise analytical needs. Data subscription and access is fully managed with this service.
This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, businessintelligence (BI), and ML. The data warehouse is highly business critical with minimal allowable downtime.
Amberdata, a blockchain and crypto market intelligence company, uses StarTree for real-time analytics to improve query performance, reduce SLA times, and lower infrastructure costs. Like Pinot, StarTree addresses the need for a low-latency, high-concurrency, real-time onlineanalyticalprocessing (OLAP) solution.
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