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  1. Microsoft Social Engagement 2016 Update 1.4 › en-us › topic

    Using Microsoft Azure Event Hubs—a highly scalable publish-subscribe event ingestor that handles millions of events per second—you can transform and store social data for further processing. Specify an automation rule in Social Engagement and stream all posts that match this rule as events to a connected event hub.

  2. Jun 03, 2015 · The ingestor, or data source, for stream analytics is usually an Azure Event Hub. Event Hubs is a highly scalable publish-subscribe data integrator capable of consuming large volumes of events per second, enabling Azure to process vast amounts of data from connected applications or devices.

  3. Event Hubs—Real-Time Data Ingestion | Microsoft Azure › en-us › services

    Event Hubs is a fully managed, real-time data ingestion service that’s simple, trusted, and scalable. Stream millions of events per second from any source to build dynamic data pipelines and immediately respond to business challenges. Keep processing data during emergencies using the geo-disaster recovery and geo-replication features.

  4. azureservicebus - Azure event grid vs service bus - Stack ... › questions › 63030143

    Jul 22, 2020 · Event Hubs is an ingestor. It's purpose is to allow capturing a large volume of messages (think telemetry type of volume) for processing. The most noticeable difference is that data is stored and not delivered anywhere.

  5. - Integration Day 2015 - recap | Codit › blog › btugbe-integration-day-2015-recap

    Jun 08, 2015 · Event Hubs- is a highly scalable publish-subscribe event ingestor that can intake millions of events per second so that you can process and analyze the massive amounts of data produced by your connected devices and applications. In his demo, Sam shows how to setup an event hub and how it works using throughput units.

  6. Azure Monitor log analytics ingestion service undergoing ... › en-us › updates

    Oct 14, 2010 · The ingestion service for the log analytics feature of Azure Monitor is undergoing maintenance from October 14 – 25. This shouldn't have any impact on data ingestion or usage of log analytics.

  7. Omni Processor - Wikipedia › wiki › Omni_Processor

    Omni Processor is a term coined in 2012 by staff of the Water, Sanitation, Hygiene Program of the Bill & Melinda Gates Foundation to describe a range of physical, biological or chemical treatments to remove pathogens from human-generated fecal sludge, while simultaneously creating commercially valuable byproducts (e.g., energy).

  8. Data Ingestion Framework | Qlik › us › data-ingestion

    In today's fast-paced global market, forward-thinking firms leverage data-based insights to discover and take advantage of key business opportunities, to develop and market innovative products and services, and to maintain a competitive edge.

  9. How to ingest data into Elasticsearch Service | Elastic Blog › blog › how-to-ingest-data-into

    Sep 09, 2019 · Winlogbeat is all about capturing event logs from Windows operating systems, including application events, hardware events, and security and system events. The vast information available from the Windows event log is of much interest for many use cases. Auditbeat detects changes to critical files and collects events from the Linux Audit Framework.

  10. Hitachi Data Systems - Wikipedia › wiki › Hitachi_Data_Systems

    Hitachi Data Systems (HDS) was a provider of modular mid-range and high-end computer data storage systems, software and services. Its operations are now a part of Hitachi Vantara.

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