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  1. Nov 7, 2023 · Follow. 5 min read. ·. 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...

  2. 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...

    • what is event ingestor mean in computer science terms1
    • what is event ingestor mean in computer science terms2
    • what is event ingestor mean in computer science terms3
    • what is event ingestor mean in computer science terms4
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  4. Data ingestion is a broad term that refers to the many ways data is sourced and manipulated for use or storage. It is the process of collecting data from a variety of sources and preparing it for an application that requires it to be in a certain format or of a certain quality level.

  5. Interested in Computer Science, but you keep seeing terms unfamiliar to you? This A-to-Z glossary defines key Computer Science terms you need to know. Computer science professionals pursue a career focused on various aspects of computing technology and its applications.

    • Why Am I Seeing Duplicate Events?
    • Capture API
    • Plugin Server

    We recommend sending a uuid value with every captured event. Events with the same UUID, event name, timestamp, and distinct_idare considered duplicates and are eventually de-duplicated. This is important because failures and retries happen, so your application or our library might send the same event multiple times. If you don't send UUIDs for ever...

    The Capture API represents the user-facing side of the ingestion pipeline, and is exposed as a number of API routes where events can be sent.Before an event reaches the Ingestion pipeline, there are a couple of preliminary checks and actions that we perform so that we can return a response immediately to the client. These consist of: 1. Validating ...

    Within the plugin server events go through a number of different steps here is an overview: In the sections below we will dive deeper into each step: 1. Apps - processEvent 2. Person processing 3. Event processing 4. Writing to ClickHouse 5. Apps - onEvent If you would like to dive even deeper the related source code can be found here.

  6. Data ingestion is the process of transporting data from one or more sources to a target site for further processing and analysis. This data can originate from a range of sources, including data lakes, IoT devices, on-premises databases, and SaaS apps, and end up in different target environments, such as cloud data warehouses or data marts.

  7. Data ingestion is the process of moving and replicating data from data sources to destination such as a cloud data lake or cloud data warehouse. Ingest data from databases, files, streaming, change data capture (CDC), applications, IoT, or machine logs into your landing or raw zone.

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