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python3-google-cloud-orchestration-airflow-1.17.0-1.lbn36.noarch: Python Client for Cloud Composer API |stable| |pypi| |versions|Cloud Composer API_: is a managed Apache Airflow service that helps you create, schedule, monitor and manage workflows. Cloud Composer automation helps you create Airflow environments quickly and use Airflow-native tools, such as the powerful Airflow web interface and command line tools, so you can focus on your workflows and not...

python3-google-cloud-monitoring-2.27.0-1.lbn36.noarch: Python Client for Stackdriver Monitoring API |stable| |pypi| |versions|Stackdriver Monitoring API_: collects metrics, events, and metadata from Google Cloud, Amazon Web Services (AWS), hosted uptime probes, and application instrumentation. Using the BindPlane service, you can also collect this data from over 150 common application components, on-premise systems, and hybrid cloud systems....

python3-google-cloud-memcache-1.12.0-1.lbn36.noarch: Python Client for Cloud Memorystore for Memcached API |stable| |pypi| |versions|Cloud Memorystore for Memcached API_: is a fully-managed in-memory data store service for Memcache.- Client Library Documentation_ - Product Documentation_.. |stabl .. |pyp .. |versions| image::

python3-google-cloud-managedkafka-0.1.7-1.lbn36.noarch: Managed Service for Apache Kafka: Managed Service for Apache Kafka API is a managed cloud service that lets you ingest Kafka streams directly into Google Cloud. Client Library Documentation Product Documentation Quick Start In order to use this library, you first need to go through the following steps: Select or create a Cloud Platform project. Enable billing for your project. Enable the Managed Service for Apache Kafka. Setup Authentication. Installation Install this library in a virtual environment using venv. venv is a tool that creates isolated Python environments. These isolated environments can have separate versions of Python packages, which allows you to isolate one project’s dependencies from the dependencies of other projects. With venv, it’s possible to install this library without needing system install permissions, and without clashing with the installed system dependencies. Code samples and snippets Code samples and snippets live in the samples/ folder. Supported

python3-google-cloud-logging-3.11.4-1.lbn36.noarch: Python Client for Cloud Logging |pypi| |versions|Cloud Logging API_: Writes log entries and manages your Cloud Logging configuration.- Client Library Documentation_ - Product Documentation_.. |pyp .. |version .. _Cloud Logging API: .. _Client Library Documentation:

python3-google-cloud-language-2.17.0-1.lbn36.noarch: Python Client for Natural Language API |stable| |pypi| |versions|Natural Language API_: provides natural language understanding technologies to developers, including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis. This API is part of the larger Cloud Machine Learning API family.- Client Library Documentation_ - Product...

python3-google-cloud-kms-3.4.0-1.lbn36.noarch: Python Client for Google Cloud Key Management Service API |stable| |pypi| |versions|Google Cloud Key Management Service API_: a cloud-hosted key management service that lets you manage cryptographic keys for your cloud services the same way you do on-premises. You can generate, use, rotate, and destroy AES256, RSA 2048, RSA 3072, RSA 4096, EC P256, and EC P384 cryptographic keys. Cloud KMS is...

python3-google-cloud-iam-2.18.1-1.lbn36.noarch: Manages identity and access control for Google Cloud Platform resources, including the creation of service accounts, which you can use to authenticate to Google and make API calls.

python3-google-cloud-firestore-2.20.1-1.lbn36.noarch: Python Client for Cloud Firestore API |stable| |pypi| |versions|Cloud Firestore API_: is a fully-managed NoSQL document database for mobile, web, and server development from Firebase and Google Cloud Platform. It's backed by a multi- region replicated database that ensures once data is committed, it's durable even in the face of unexpected disasters. Not only that, but despite being a...

python3-google-cloud-dlp-3.28.0-1.lbn36.noarch: Python Client for Cloud Data Loss Prevention API |stable| |pypi| |versions|Cloud Data Loss Prevention API_: provides programmatic access to a powerful detection engine for personally identifiable information and other privacy-sensitive data in unstructured data streams, like text blocks and images.- Client Library Documentation_ - Product Documentation_.. |stabl .. |pypi| image::

python3-google-cloud-datastore-2.20.2-1.lbn36.noarch: Python Client for Google Cloud Datastore API |stable| |pypi| |versions|Google Cloud Datastore API_: is a fully managed, schemaless database for storing non- relational data. Cloud Datastore automatically scales with your users and supports ACID transactions, high availability of reads and writes, strong consistency for reads and ancestor queries, and eventual consistency for all other...

python3-google-cloud-dataproc-metastore-1.18.1-1.lbn36.noarch: Python Client for Dataproc Metastore API |stable| |pypi| |versions|Dataproc Metastore API_: is a fully managed, highly available, autoscaled, autohealing, OSS-native metastore service that greatly simplifies technical metadata management. Dataproc Metastore service is based on Apache Hive metastore and serves as a critical component towards enterprise data lakes.- Client Library Documentation_...

python3-google-cloud-dataproc-5.18.0-1.lbn36.noarch: Python Client for Google Cloud Dataproc API |stable| |pypi| |versions|Google Cloud Dataproc API_: is a faster, easier, more cost-effective way to run Apache Spark and Apache Hadoop.- Client Library Documentation_ - Product Documentation_.. |stabl .. |pyp .. |versions| image::

python3-google-cloud-dataplex-2.7.1-1.lbn36.noarch: Python Client for Cloud Dataplex API |stable| |pypi| |versions|Cloud Dataplex API_: provides intelligent data fabric that enables organizations to centrally manage, monitor, and govern their data across data lakes, data warehouses, and data marts with consistent controls, providing access to trusted data and powering analytics at scale.- Client Library Documentation_ - Product Documentation_.....

python3-google-cloud-dataform-0.5.16-1.lbn36.noarch: Python Client for Cloud Dataform API |preview| |pypi| |versions|Cloud Dataform API_: - Client Library Documentation_ - Product Documentation_.. |previe .. |pyp .. |version :target:

python3-google-cloud-dataflow-client-0.8.16-1.lbn36.noarch: Python Client for Dataflow API |preview| |pypi| |versions|Dataflow API_: Unified stream and batch data processing that's serverless, fast, and cost- effective.- Client Library Documentation_ - Product Documentation_.. |previe .. |pyp .. |versions| image::

python3-google-cloud-datacatalog-3.25.1-1.lbn36.noarch: Python Client for Google Cloud Data Catalog API |stable| |pypi| |versions|Google Cloud Data Catalog API_: is a fully managed and highly scalable data discovery and metadata management service.- Client Library Documentation_ - Product Documentation_.. |stabl .. |pyp .. |versions| image::

python3-google-cloud-core-2.4.2-1.lbn36.noarch: Core Helpers for Google Cloud Python Client Library |pypi| |versions|This library is not meant to stand-alone. Instead it defines common helpers (e.g. base Client classes) used by all of the google-cloud-* packages. - Documentation_.. |pyp .. |version .. _Documentation:

python3-google-cloud-container-2.56.0-1.lbn36.noarch: Python Client for Kubernetes Engine API |stable| |pypi| |versions|Kubernetes Engine API_: The Google Kubernetes Engine API is used for building and managing container based applications, powered by the open source Kubernetes technology.- Client Library Documentation_ - Product Documentation_.. |stabl .. |pyp :target:

python3-google-cloud-build-3.31.0-1.lbn36.noarch: Python Client for Cloud Build API |stable| |pypi| |versions|Cloud Build API_: lets you build software quickly across all languages. Get complete control over defining custom workflows for building, testing, and deploying across multiple environments such as VMs, serverless, Kubernetes, or Firebase.- Client Library Documentation_ - Product Documentation_.. |stabl .. |pypi| image::

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