How to Install and Uninstall python39-azure-purview-catalog Package on openSuSE Tumbleweed
Last updated: November 27,2024
1. Install "python39-azure-purview-catalog" package
Please follow the steps below to install python39-azure-purview-catalog on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python39-azure-purview-catalog
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2. Uninstall "python39-azure-purview-catalog" package
This guide let you learn how to uninstall python39-azure-purview-catalog on openSuSE Tumbleweed:
$
sudo zypper remove
python39-azure-purview-catalog
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3. Information about the python39-azure-purview-catalog package on openSuSE Tumbleweed
Information for package python39-azure-purview-catalog:
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Repository : openSUSE-Tumbleweed-Oss
Name : python39-azure-purview-catalog
Version : 1.0.0b4-1.8
Arch : noarch
Vendor : openSUSE
Installed Size : 5.4 MiB
Installed : No
Status : not installed
Source package : python-azure-purview-catalog-1.0.0b4-1.8.src
Upstream URL : https://github.com/Azure/azure-sdk-for-python
Summary : Microsoft Azure Purview Catalog Client Library for Python
Description :
Azure Purview Catalog is a fully managed cloud service whose users can discover the
data sources they need and understand the data sources they find. At the same time,
Data Catalog helps organizations get more value from their existing investments.
* Search for data using technical or business terms
* Browse associated technical, business, semantic, and operational metadata
* Identify the sensitivity level of data.
-------------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python39-azure-purview-catalog
Version : 1.0.0b4-1.8
Arch : noarch
Vendor : openSUSE
Installed Size : 5.4 MiB
Installed : No
Status : not installed
Source package : python-azure-purview-catalog-1.0.0b4-1.8.src
Upstream URL : https://github.com/Azure/azure-sdk-for-python
Summary : Microsoft Azure Purview Catalog Client Library for Python
Description :
Azure Purview Catalog is a fully managed cloud service whose users can discover the
data sources they need and understand the data sources they find. At the same time,
Data Catalog helps organizations get more value from their existing investments.
* Search for data using technical or business terms
* Browse associated technical, business, semantic, and operational metadata
* Identify the sensitivity level of data.