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  1. Apr 17, 2024 · Last updated: Apr 17, 2024. | Edit this page. In simple terms, the ingestion pipeline is a collection of services which listen for events as they are sent in, processed, and stored for later analysis. Client Library. /decide API. Capture API. Plugin server. PostgreSQL (persons table) Kafka. ClickHouse. Capture API.

  2. 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. Data ...

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  4. Nov 7, 2023 · 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...

  5. 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.

  6. Data ingestion is the process of extracting, transforming, and loading data into a target system for further insights and analysis. In short, data ingestion tools help automate and streamline the data ingestion process by importing data from various sources into a system, database, or application.

  7. Sep 7, 2022 · Azure Event Hubs acts like a “front door” for an event pipeline, often called an event ingestor. An event ingestor is a component or service that sits between event publishers and...

  8. 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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