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  1. May 10, 2023 · On a high level during ingestion, app server: Reads events from events_plugin_ingestion kafka topic. Runs user-created apps on the events, potentially modifying the shape of the events. Handles person (and groups) creation and updates, using posthog_person postgresql table as the source of truth. Sends events, persons, groups to specialized ...

  2. Azure Event Hubs is a real-time data ingestion service that you can use to ingest millions of events per second from any source. Event hubs represent the front door, often called an event ingestor, for an event pipeline. An event ingestor is a component or service that's located between event publishers and event consumers.

  3. Jun 28, 2023 · Event Hubs represents the “front door” for an event pipeline, often called an event ingestor in solution architectures. An event ingestor is a component or service that sits between event publishers and event consumers to decouple the production of an eventstream from the consumption of those events. Event Hubs provides a unified streaming ...

  4. Sep 7, 2022 · An event ingestor is a component or service that sits between event publishers and event consumers to decouple the production of an event stream from the consumption of those events.

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  5. Nov 7, 2023 · Azure Event Hubs is a big data streaming platform and event ingestion service. It can receive and process millions of events per second. It represents the “front door” for an event pipeline ...

  6. An event ingestor is a component or service that sits between event publishers and event consumers to decouple the production of an event stream from the consumption of those events. The following figure depicts this architecture: Event Hubs provides message stream handling capability but has characteristics that are different from traditional ...

  7. Data ingestion is a vital tech that helps companies extract and transfer data in an automated way. With data ingestion pipelines established, IT and other business teams can focus on extracting value from data and finding new insights. And automated data ingestion can become a key differentiator in today’s increasingly competitive marketplaces.

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