How to Install and Uninstall python311-azure-eventhub Package on openSuSE Tumbleweed
Last updated: November 08,2024
1. Install "python311-azure-eventhub" package
Please follow the step by step instructions below to install python311-azure-eventhub on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python311-azure-eventhub
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2. Uninstall "python311-azure-eventhub" package
Please follow the step by step instructions below to uninstall python311-azure-eventhub on openSuSE Tumbleweed:
$
sudo zypper remove
python311-azure-eventhub
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3. Information about the python311-azure-eventhub package on openSuSE Tumbleweed
Information for package python311-azure-eventhub:
-------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-azure-eventhub
Version : 5.11.6-1.1
Arch : noarch
Vendor : openSUSE
Installed Size : 2.7 MiB
Installed : No
Status : not installed
Source package : python-azure-eventhub-5.11.6-1.1.src
Upstream URL : https://github.com/Azure/azure-sdk-for-python
Summary : Azure Event Hubs client library for Python
Description :
Azure Event Hubs is a highly scalable publish-subscribe service that can ingest millions
of events per second and stream them to multiple consumers. This lets you process and
analyze the massive amounts of data produced by your connected devices and applications.
Once Event Hubs has collected the data, you can retrieve, transform, and store it by using
any real-time analytics provider or with batching/storage adapters. If you would like to
know more about Azure Event Hubs, you may wish to review:
[What is Event Hubs](https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-about)?
The Azure Event Hubs client library allows for publishing and consuming of Azure Event
Hubs events and may be used to:
- Emit telemetry about your application for business intelligence and diagnostic purposes.
- Publish facts about the state of your application which interested parties may observe
and use as a trigger for taking action.
- Observe interesting operations and interactions happening within your business or other
ecosystem, allowing loosely coupled systems to interact without the need to bind them together.
- Receive events from one or more publishers, transform them to better meet the needs of
your ecosystem, then publish the transformed events to a new stream for consumers to observe.
-------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-azure-eventhub
Version : 5.11.6-1.1
Arch : noarch
Vendor : openSUSE
Installed Size : 2.7 MiB
Installed : No
Status : not installed
Source package : python-azure-eventhub-5.11.6-1.1.src
Upstream URL : https://github.com/Azure/azure-sdk-for-python
Summary : Azure Event Hubs client library for Python
Description :
Azure Event Hubs is a highly scalable publish-subscribe service that can ingest millions
of events per second and stream them to multiple consumers. This lets you process and
analyze the massive amounts of data produced by your connected devices and applications.
Once Event Hubs has collected the data, you can retrieve, transform, and store it by using
any real-time analytics provider or with batching/storage adapters. If you would like to
know more about Azure Event Hubs, you may wish to review:
[What is Event Hubs](https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-about)?
The Azure Event Hubs client library allows for publishing and consuming of Azure Event
Hubs events and may be used to:
- Emit telemetry about your application for business intelligence and diagnostic purposes.
- Publish facts about the state of your application which interested parties may observe
and use as a trigger for taking action.
- Observe interesting operations and interactions happening within your business or other
ecosystem, allowing loosely coupled systems to interact without the need to bind them together.
- Receive events from one or more publishers, transform them to better meet the needs of
your ecosystem, then publish the transformed events to a new stream for consumers to observe.