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Handling Bursty Traffic in Real-Time Analytics Applications

Rockset

Though some data sources like event streams were starting to arrive in real time, neither data nor queries were time sensitive. Databases could just buffer, ingest and query data on a regular schedule. Moreover, analytical systems and pipelines were complementary, not mission-critical.

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An Overview of Real Time Data Warehousing on Cloudera

Cloudera

Correlations across data domains, even if they are not traditionally stored together (e.g. real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The extreme scale of “big data”, but with the feel and semantics of “small data”.