in “one sitting end-to-end” → Which events are causing a desired operation → Which events are causing the users to get stuck → Average session time → User flows → etc etc etc
(if possible) provides the ability to calculate the watermark → The state can hold data for older events as well (does not solve all cases) → When to send a result downstream / “Best effort” approach
to auto-recover from failures (https://www.alooma.com/blog/trident-exactly-on ce) → Ability to keep the erroneous events isolated while letting the rest of the pipeline flow → Ability to reprocess the raw data for a specific period of time
Enrichments, State, ReStream, Dynamic Data Modelling, MDM Alooma Code Engine Stream Processor, Scheduler Distributed MQ Connectors M anagem ent Layer Connectors M anagem ent Layer AI Alooma Platform - The Real-Time Data Hub External APIs CONFIDENTIAL